AIOps

Driving step‑function improvements in Service reliability, Dev productivity and Fleet efficiency through Agentic AI research and cross‑stack innovation.

출판물

자료 보기:

- Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale
  
  Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky
  
  ACM Sigmetrics 2026 | June 2026
  
  Publication 프로젝트
- Workload Intelligence: Workload-Aware IaaS Abstraction for Cloud Efficiency
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  Supercomputing | November 2025
  
  Publication DOI PDF
- ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving
  
  Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
  
  ACM Symposium on Cloud Computing (SoCC) 2025 | November 2025
  
  Preprint 프로젝트 프로젝트
- Adapting Web Agents with Synthetic Supervision
  
  Zhaoyang Wang, Yiming Liang, Xuchao Zhang, Qianhui Wu, Siwei Han, Anson Bastos, Rujia Wang, Chetan Bansal, Baolin Peng, Jianfeng Gao, Saravan Rajmohan, Huaxiu Yao
  
  November 2025
  
  Publication 프로젝트
- Generative Caching for Structurally Similar Prompts and Responses
  
  Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
  
  NeurIPS 2025 | November 2025
  
  Preprint
- Triangle: Empowering Incident Triage with Multi-Agent
  
  Zhaoyang Yu, Aoyang Fang, Minghua Ma, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, et.al
  
  ASE’25 | November 2025
  
  Publication 프로젝트
- Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems
  
  Fiza Hussain, Anson Bastos, A. Parayil, Ayush Choure, Chetan Bansal, Rujia Wang, Saravan Rajmohan
  
  October 2025
  
  Publication
- REFA: Reference Free Alignment for multi-preference optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  COLM 2025 | July 2025
  
  Publication
- AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud
  
  Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan
  
  MLSys ’25 | May 2025
  
  Publication
- ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
  
  Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  MLSys’25 | May 2025
  
  Publication
- Towards Cloud Efficiency with Large-scale Workload Characterization
  
  A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
  
  ICPE | May 2025
  
  Preprint
- Automated Service Design with Cerulean (Project Showcase)
  
  Vaastav Anand, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  2025 IEEE/ACM International Workshop on Cloud Intelligence & AIOps (AIOps) | May 2025, pp. 1-3
  
  DOI Publication
- Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI-Driven Era
  
  Sukrit Kumar, Drishti Goel, Tom Zimmermann, Brian Houck, B. Ashok, Chetan Bansal
  
  ICSE SEIP ’25 | April 2025
  
  Distinguished Paper Award
  
  Preprint
- Synergistic Weak-Strong Collaboration by Aligning Preferences
  
  Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao
  
  ArXiv | April 2025, 제 abs/2504.15188 권
  
  DOI Publication Publication
- Performance Aware LLM Load Balancer for Mixed Workloads
  
  Kunal Jain, A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan
  
  EuroMLSys 2025 | April 2025
  
  Publication 프로젝트
- Intent-based System Design and Operation
  
  Vaastav Anand, Yichen Li, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems | February 2025
  
  DOI Publication Publication
- Verifiable Format Control for Large Language Model Generations
  
  Zhaoyang Wang, Jinqi Jiang, Huichi Zhou, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Huaxiu Yao
  
  NAACL | February 2025
  
  DOI Publication Publication
- Ensuring Fair LLM Serving Amid Diverse Applications
  
  Kunal Jain, Ankur Mallick, A. Parayil, Renee St. Amant, Rujia Wang, Victor Ruehle, Chetan Bansal, Saravan Rajmohan, Redwan Ibne Seraj Khan, Haiying Shen, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Yue Cheng
  
  ArXiv | November 2024
  
  Publication 프로젝트
- Building AI Agents for Autonomous Clouds: Challenges and Design Principles
  
  Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
  
  2024 Symposium on Cloud Computing | November 2024
  
  Publication
- Reward Copilot for RL-driven Systems Optimization
  
  Karan Tandon, Manav Mishra, Gagan Somashekar, Mayukh Das, Nagarajan Natarajan
  
  Advances in Neural Information Processing Systems 2024 – Workshop on ML For Systems | November 2024
  
  Publication
- CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling
  
  Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan
  
  2024 Meeting of the Association for Computational Linguistics | October 2024
  
  Publication
- Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning
  
  Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | October 2024
  
  Publication
- COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
  
  Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
  
  CIKM’24 | October 2024
  
  PDF
- Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction
  
  Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | October 2024
  
  Publication
- FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents
  
  Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan
  
  October 2024
  
  Publication 프로젝트
- Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
  
  A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
  
  ArXiv | August 2024, 제 abs/2408.13510 권
  
  Preprint
- Large Language Models Can Provide Accurate and Interpretable Incident Triage
  
  Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | August 2024
  
  Publication
- Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
  
  Xuchao Zhang, Supriyo GHOSH, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
  
  Foundations of Software Engineering (FSE) | July 2024
  
  Publication
- X-lifecycle Learning for Cloud Incident Management using LLMs
  
  Drishti Goel, Fiza Husain, Aditya Singh, Supriyo GHOSH, A. Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan
  
  Foundations of Software Engineering (FSE) | July 2024
  
  Publication
- MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
  
  Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  Foundations of Software Engineering (FSE) | July 2024
  
  DOI Publication
- Exploring LLM-based Agents for Root Cause Analysis
  
  Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  FSE ’24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024
  
  Publication 프로젝트
- MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
  
  Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE’24 Industry Track | July 2024
  
  Publication Publication
- Designing Cloud Servers for Lower Carbon
  
  Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman
  
  ISCA | June 2024
  
  Publication
- SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
  
  Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini
  
  ISCA | June 2024
  
  Publication
- LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers
  
  Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan
  
  May 2024
  
  Publication 프로젝트
- Dependency Aware Incident Linking in Large Cloud Systems
  
  Supriyo GHOSH, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan
  
  The Web Conference (WWW) | May 2024
  
  Publication
- Intelligent Overclocking for Improved Cloud Efficiency
  
  Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal
  
  AIOps ’24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024
  
  Preprint
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys’24 | April 2024
  
  Publication
- Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach
  
  Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan
  
  46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024
  
  Preprint
- OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy
  
  Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan
  
  NSDI 2024 | April 2024
  
  Publication Publication Github 프로젝트 프로젝트
- Workload Intelligence: Punching Holes Through the Cloud Abstraction
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  ArXiv | April 2024, 제 abs/2404.19143 권
  
  Preprint
- Workload Intelligence: Punching Holes Through the Cloud Abstraction
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  April 2024
  
  Preprint
- Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
  
  Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie
  
  TheWebConf’24 | February 2024
  
  DOI Publication
- NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams
  
  Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das
  
  IEEE Big Data 2023 | December 2023
  
  Special session on Machine Learning on Big Data (MLBD)
  
  Publication
- Detection Is Better Than Cure: A Cloud Incidents Perspective
  
  A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra
  
  ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023
  
  Publication
- Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
  
  Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ArXiv | November 2023, 제 abs/2311.04254 권
  
  DOI Publication Publication
- PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
  
  Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  September 2023
  
  Publication
- How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
  
  Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
  
  DSN’23 | June 2023
  
  Publication
- Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
  
  Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan
  
  ICSE 2023 | May 2023
  
  Publication
- Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs
  
  Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ASPLOS’23 | March 2023
  
  Publication
- AutoTSG: Learning and Synthesis for Incident Troubleshooting
  
  Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
  
  ESEC/FSE 2022 | November 2022
  
  Publication Publication Publication
- How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service
  
  Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath
  
  SoCC 2022 | November 2022
  
  Best Paper Award
  
  Publication PDF 프로젝트
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication 프로젝트 프로젝트
- AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement
  
  Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS
  
  ICPR | August 2022
  
  Publication
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication 프로젝트 프로젝트
- Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
  
  Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD’22 | August 2022
  
  Publication 프로젝트 프로젝트
- DeepAnalyze: Learning to Localize Crashes at Scale
  
  Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
  
  ICSE 2022 | May 2022
  
  Publication 프로젝트
- SoftNER: Mining knowledge graphs from Cloud Incidents
  
  Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan
  
  Empirical Software Engineering | April 2022, 제 27 권(4)
  
  Publication
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’22 Companion | April 2022
  
  Publication
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD’21 Applied Data Science Track | October 2021
  
  Publication PDF 프로젝트 프로젝트
- How Long Will it Take to Mitigate this Incident for Online Service Systems?
  
  Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  ISSRE’21 | September 2021
  
  Best Research Paper
  
  Publication 프로젝트 프로젝트
- Intelligent container reallocation at Microsoft 365
  
  Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang
  
  2021 Foundations of Software Engineering | August 2021
  
  DOI 프로젝트 프로젝트
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021
  
  Publication 프로젝트 프로젝트
- Neural Knowledge Extraction From Cloud Service Incidents
  
  Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann
  
  43rd International Conference on Software Engineering (ICSE ’21) – SEIP Track | May 2021
- Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
  
  Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication 프로젝트 프로젝트 프로젝트
- PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
  
  Chuan Luo, …, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication 프로젝트
- NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
  
  Chuan Luo, Pu Zhao, …, Qingwei Lin 林庆维, …
  
  WWW (TheWebConf) 2021 | February 2021
  
  Publication 프로젝트 프로젝트 프로젝트
- DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services
  
  Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman
  
  ICSE 2020 | May 2020
  
  PDF 프로젝트
- Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis
  
  Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar
  
  Networked System Design and Implementation (NSDI) | February 2020
  
  Publication 프로젝트
- WhoDo: Automating Reviewer Suggestions at Scale
  
  Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Chetan Bansal, Christian Bird, Chandra Maddila, Sonu Mehta, B. Ashok
  
  ESEC/FSE 2019 | August 2019
  
  Publication 프로젝트
- Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
  
  Chandra Maddila, Chetan Bansal, Nachi Nagappan
  
  ESEC/FSE 2019 | August 2019
  
  Publication 프로젝트
- Building sankie: an AI platform for DevOps
  
  Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava
  
  1st International Workshop on Bots in Software Engineering (BotSE ’19) | May 2019
  
  Publication 프로젝트
- FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services
  
  Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan
  
  International Conference on Software Engineering | May 2019
  
  Publication 프로젝트
- Orca: Differential Bug Localization in Large-Scale Services
  
  Ranjita Bhagwan, Rahul Kumar, Chandra Maddila, Adithya Abraham Philip
  
  13th USENIX Symposium on Operating Systems Design and Implementation | October 2018
  
  Won the Jay Lepreau Best Paper Award
  
  Publication 프로젝트

- Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale
  
  Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky
  
  ACM Sigmetrics 2026 | June 2026
  
  Publication 프로젝트
- Workload Intelligence: Workload-Aware IaaS Abstraction for Cloud Efficiency
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  Supercomputing | November 2025
  
  Publication DOI PDF
- ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving
  
  Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
  
  ACM Symposium on Cloud Computing (SoCC) 2025 | November 2025
  
  Preprint 프로젝트 프로젝트
- Adapting Web Agents with Synthetic Supervision
  
  Zhaoyang Wang, Yiming Liang, Xuchao Zhang, Qianhui Wu, Siwei Han, Anson Bastos, Rujia Wang, Chetan Bansal, Baolin Peng, Jianfeng Gao, Saravan Rajmohan, Huaxiu Yao
  
  November 2025
  
  Publication 프로젝트
- Generative Caching for Structurally Similar Prompts and Responses
  
  Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
  
  NeurIPS 2025 | November 2025
  
  Preprint
- Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems
  
  Fiza Hussain, Anson Bastos, A. Parayil, Ayush Choure, Chetan Bansal, Rujia Wang, Saravan Rajmohan
  
  October 2025
  
  Publication
- REFA: Reference Free Alignment for multi-preference optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  COLM 2025 | July 2025
  
  Publication
- ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
  
  Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  MLSys’25 | May 2025
  
  Publication
- AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud
  
  Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan
  
  MLSys ’25 | May 2025
  
  Publication
- Towards Cloud Efficiency with Large-scale Workload Characterization
  
  A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
  
  ICPE | May 2025
  
  Preprint
- Automated Service Design with Cerulean (Project Showcase)
  
  Vaastav Anand, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  2025 IEEE/ACM International Workshop on Cloud Intelligence & AIOps (AIOps) | May 2025, pp. 1-3
  
  DOI Publication
- Synergistic Weak-Strong Collaboration by Aligning Preferences
  
  Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao
  
  ArXiv | April 2025, 제 abs/2504.15188 권
  
  DOI Publication Publication
- Performance Aware LLM Load Balancer for Mixed Workloads
  
  Kunal Jain, A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan
  
  EuroMLSys 2025 | April 2025
  
  Publication 프로젝트
- Intent-based System Design and Operation
  
  Vaastav Anand, Yichen Li, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems | February 2025
  
  DOI Publication Publication
- Verifiable Format Control for Large Language Model Generations
  
  Zhaoyang Wang, Jinqi Jiang, Huichi Zhou, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Huaxiu Yao
  
  NAACL | February 2025
  
  DOI Publication Publication
- Ensuring Fair LLM Serving Amid Diverse Applications
  
  Kunal Jain, Ankur Mallick, A. Parayil, Renee St. Amant, Rujia Wang, Victor Ruehle, Chetan Bansal, Saravan Rajmohan, Redwan Ibne Seraj Khan, Haiying Shen, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Yue Cheng
  
  ArXiv | November 2024
  
  Publication 프로젝트
- Building AI Agents for Autonomous Clouds: Challenges and Design Principles
  
  Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
  
  2024 Symposium on Cloud Computing | November 2024
  
  Publication
- Reward Copilot for RL-driven Systems Optimization
  
  Karan Tandon, Manav Mishra, Gagan Somashekar, Mayukh Das, Nagarajan Natarajan
  
  Advances in Neural Information Processing Systems 2024 – Workshop on ML For Systems | November 2024
  
  Publication
- CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling
  
  Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan
  
  2024 Meeting of the Association for Computational Linguistics | October 2024
  
  Publication
- FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents
  
  Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan
  
  October 2024
  
  Publication 프로젝트
- COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
  
  Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
  
  CIKM’24 | October 2024
  
  PDF
- Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
  
  A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
  
  ArXiv | August 2024, 제 abs/2408.13510 권
  
  Preprint
- Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
  
  Xuchao Zhang, Supriyo GHOSH, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
  
  Foundations of Software Engineering (FSE) | July 2024
  
  Publication
- X-lifecycle Learning for Cloud Incident Management using LLMs
  
  Drishti Goel, Fiza Husain, Aditya Singh, Supriyo GHOSH, A. Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan
  
  Foundations of Software Engineering (FSE) | July 2024
  
  Publication
- MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
  
  Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  Foundations of Software Engineering (FSE) | July 2024
  
  DOI Publication
- MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
  
  Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE’24 Industry Track | July 2024
  
  Publication Publication
- Exploring LLM-based Agents for Root Cause Analysis
  
  Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  FSE ’24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024
  
  Publication 프로젝트
- LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers
  
  Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan
  
  May 2024
  
  Publication 프로젝트
- Dependency Aware Incident Linking in Large Cloud Systems
  
  Supriyo GHOSH, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan
  
  The Web Conference (WWW) | May 2024
  
  Publication
- Intelligent Overclocking for Improved Cloud Efficiency
  
  Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal
  
  AIOps ’24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024
  
  Preprint
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys’24 | April 2024
  
  Publication
- Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach
  
  Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan
  
  46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024
  
  Preprint
- Workload Intelligence: Punching Holes Through the Cloud Abstraction
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  April 2024
  
  Preprint
- NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams
  
  Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das
  
  IEEE Big Data 2023 | December 2023
  
  Special session on Machine Learning on Big Data (MLBD)
  
  Publication
- Detection Is Better Than Cure: A Cloud Incidents Perspective
  
  A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra
  
  ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023
  
  Publication
- Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
  
  Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ArXiv | November 2023, 제 abs/2311.04254 권
  
  DOI Publication Publication
- PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
  
  Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  September 2023
  
  Publication
- Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
  
  Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan
  
  ICSE 2023 | May 2023
  
  Publication
- AutoTSG: Learning and Synthesis for Incident Troubleshooting
  
  Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
  
  ESEC/FSE 2022 | November 2022
  
  Publication Publication Publication
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication 프로젝트 프로젝트
- AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement
  
  Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS
  
  ICPR | August 2022
  
  Publication
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication 프로젝트 프로젝트
- DeepAnalyze: Learning to Localize Crashes at Scale
  
  Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
  
  ICSE 2022 | May 2022
  
  Publication 프로젝트
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’22 Companion | April 2022
  
  Publication
- SoftNER: Mining knowledge graphs from Cloud Incidents
  
  Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan
  
  Empirical Software Engineering | April 2022, 제 27 권(4)
  
  Publication
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD’21 Applied Data Science Track | October 2021
  
  Publication PDF 프로젝트 프로젝트
- How Long Will it Take to Mitigate this Incident for Online Service Systems?
  
  Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  ISSRE’21 | September 2021
  
  Best Research Paper
  
  Publication 프로젝트 프로젝트
- Intelligent container reallocation at Microsoft 365
  
  Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang
  
  2021 Foundations of Software Engineering | August 2021
  
  DOI 프로젝트 프로젝트
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021
  
  Publication 프로젝트 프로젝트
- Neural Knowledge Extraction From Cloud Service Incidents
  
  Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann
  
  43rd International Conference on Software Engineering (ICSE ’21) – SEIP Track | May 2021
- Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
  
  Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication 프로젝트 프로젝트 프로젝트
- PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
  
  Chuan Luo, …, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication 프로젝트
- NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
  
  Chuan Luo, Pu Zhao, …, Qingwei Lin 林庆维, …
  
  WWW (TheWebConf) 2021 | February 2021
  
  Publication 프로젝트 프로젝트 프로젝트
- Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
  
  Chandra Maddila, Chetan Bansal, Nachi Nagappan
  
  ESEC/FSE 2019 | August 2019
  
  Publication 프로젝트
- Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems
  
  Fiza Hussain, Anson Bastos, A. Parayil, Ayush Choure, Chetan Bansal, Rujia Wang, Saravan Rajmohan
  
  October 2025
  
  Publication
- Reward Copilot for RL-driven Systems Optimization
  
  Karan Tandon, Manav Mishra, Gagan Somashekar, Mayukh Das, Nagarajan Natarajan
  
  Advances in Neural Information Processing Systems 2024 – Workshop on ML For Systems | November 2024
  
  Publication
- Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning
  
  Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | October 2024
  
  Publication
- Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction
  
  Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | October 2024
  
  Publication
- Exploring LLM-based Agents for Root Cause Analysis
  
  Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  FSE ’24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024
  
  Publication 프로젝트
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys’24 | April 2024
  
  Publication
- OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy
  
  Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan
  
  NSDI 2024 | April 2024
  
  Publication Publication Github 프로젝트 프로젝트
- Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
  
  Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie
  
  TheWebConf’24 | February 2024
  
  DOI Publication
- NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams
  
  Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das
  
  IEEE Big Data 2023 | December 2023
  
  Special session on Machine Learning on Big Data (MLBD)
  
  Publication
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication 프로젝트 프로젝트
- Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
  
  Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD’22 | August 2022
  
  Publication 프로젝트 프로젝트
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication 프로젝트 프로젝트
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’22 Companion | April 2022
  
  Publication
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD’21 Applied Data Science Track | October 2021
  
  Publication PDF 프로젝트 프로젝트
- How Long Will it Take to Mitigate this Incident for Online Service Systems?
  
  Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  ISSRE’21 | September 2021
  
  Best Research Paper
  
  Publication 프로젝트 프로젝트
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021
  
  Publication 프로젝트 프로젝트
- Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
  
  Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication 프로젝트 프로젝트 프로젝트
- PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
  
  Chuan Luo, …, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication 프로젝트
- NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
  
  Chuan Luo, Pu Zhao, …, Qingwei Lin 林庆维, …
  
  WWW (TheWebConf) 2021 | February 2021
  
  Publication 프로젝트 프로젝트 프로젝트
- Automated Service Design with Cerulean (Project Showcase)
  
  Vaastav Anand, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  2025 IEEE/ACM International Workshop on Cloud Intelligence & AIOps (AIOps) | May 2025, pp. 1-3
  
  DOI Publication
- Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI-Driven Era
  
  Sukrit Kumar, Drishti Goel, Tom Zimmermann, Brian Houck, B. Ashok, Chetan Bansal
  
  ICSE SEIP ’25 | April 2025
  
  Distinguished Paper Award
  
  Preprint
- Intent-based System Design and Operation
  
  Vaastav Anand, Yichen Li, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems | February 2025
  
  DOI Publication Publication
- Building AI Agents for Autonomous Clouds: Challenges and Design Principles
  
  Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
  
  2024 Symposium on Cloud Computing | November 2024
  
  Publication
- FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents
  
  Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan
  
  October 2024
  
  Publication 프로젝트
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys’24 | April 2024
  
  Publication
- Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach
  
  Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan
  
  46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024
  
  Preprint
- Detection Is Better Than Cure: A Cloud Incidents Perspective
  
  A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra
  
  ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023
  
  Publication
- Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
  
  Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan
  
  ICSE 2023 | May 2023
  
  Publication
- AutoTSG: Learning and Synthesis for Incident Troubleshooting
  
  Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
  
  ESEC/FSE 2022 | November 2022
  
  Publication Publication Publication
- How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service
  
  Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath
  
  SoCC 2022 | November 2022
  
  Best Paper Award
  
  Publication PDF 프로젝트
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication 프로젝트 프로젝트
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication 프로젝트 프로젝트
- DeepAnalyze: Learning to Localize Crashes at Scale
  
  Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
  
  ICSE 2022 | May 2022
  
  Publication 프로젝트
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’22 Companion | April 2022
  
  Publication
- SoftNER: Mining knowledge graphs from Cloud Incidents
  
  Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan
  
  Empirical Software Engineering | April 2022, 제 27 권(4)
  
  Publication
- How Long Will it Take to Mitigate this Incident for Online Service Systems?
  
  Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  ISSRE’21 | September 2021
  
  Best Research Paper
  
  Publication 프로젝트 프로젝트
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021
  
  Publication 프로젝트 프로젝트
- Neural Knowledge Extraction From Cloud Service Incidents
  
  Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann
  
  43rd International Conference on Software Engineering (ICSE ’21) – SEIP Track | May 2021
- DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services
  
  Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman
  
  ICSE 2020 | May 2020
  
  PDF 프로젝트
- Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis
  
  Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar
  
  Networked System Design and Implementation (NSDI) | February 2020
  
  Publication 프로젝트
- WhoDo: Automating Reviewer Suggestions at Scale
  
  Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Chetan Bansal, Christian Bird, Chandra Maddila, Sonu Mehta, B. Ashok
  
  ESEC/FSE 2019 | August 2019
  
  Publication 프로젝트
- Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
  
  Chandra Maddila, Chetan Bansal, Nachi Nagappan
  
  ESEC/FSE 2019 | August 2019
  
  Publication 프로젝트
- Building sankie: an AI platform for DevOps
  
  Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava
  
  1st International Workshop on Bots in Software Engineering (BotSE ’19) | May 2019
  
  Publication 프로젝트
- FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services
  
  Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan
  
  International Conference on Software Engineering | May 2019
  
  Publication 프로젝트
- Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale
  
  Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky
  
  ACM Sigmetrics 2026 | June 2026
  
  Publication 프로젝트
- ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving
  
  Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
  
  ACM Symposium on Cloud Computing (SoCC) 2025 | November 2025
  
  Preprint 프로젝트 프로젝트
- Generative Caching for Structurally Similar Prompts and Responses
  
  Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
  
  NeurIPS 2025 | November 2025
  
  Preprint
- Triangle: Empowering Incident Triage with Multi-Agent
  
  Zhaoyang Yu, Aoyang Fang, Minghua Ma, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, et.al
  
  ASE’25 | November 2025
  
  Publication 프로젝트
- ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
  
  Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  MLSys’25 | May 2025
  
  Publication
- AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud
  
  Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan
  
  MLSys ’25 | May 2025
  
  Publication
- Towards Cloud Efficiency with Large-scale Workload Characterization
  
  A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
  
  ICPE | May 2025
  
  Preprint
- Automated Service Design with Cerulean (Project Showcase)
  
  Vaastav Anand, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  2025 IEEE/ACM International Workshop on Cloud Intelligence & AIOps (AIOps) | May 2025, pp. 1-3
  
  DOI Publication
- Intent-based System Design and Operation
  
  Vaastav Anand, Yichen Li, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems | February 2025
  
  DOI Publication Publication
- Ensuring Fair LLM Serving Amid Diverse Applications
  
  Kunal Jain, Ankur Mallick, A. Parayil, Renee St. Amant, Rujia Wang, Victor Ruehle, Chetan Bansal, Saravan Rajmohan, Redwan Ibne Seraj Khan, Haiying Shen, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Yue Cheng
  
  ArXiv | November 2024
  
  Publication 프로젝트
- Building AI Agents for Autonomous Clouds: Challenges and Design Principles
  
  Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
  
  2024 Symposium on Cloud Computing | November 2024
  
  Publication
- Reward Copilot for RL-driven Systems Optimization
  
  Karan Tandon, Manav Mishra, Gagan Somashekar, Mayukh Das, Nagarajan Natarajan
  
  Advances in Neural Information Processing Systems 2024 – Workshop on ML For Systems | November 2024
  
  Publication
- COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
  
  Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
  
  CIKM’24 | October 2024
  
  PDF
- Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
  
  A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
  
  ArXiv | August 2024, 제 abs/2408.13510 권
  
  Preprint
- Large Language Models Can Provide Accurate and Interpretable Incident Triage
  
  Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | August 2024
  
  Publication
- Designing Cloud Servers for Lower Carbon
  
  Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman
  
  ISCA | June 2024
  
  Publication
- SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
  
  Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini
  
  ISCA | June 2024
  
  Publication
- LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers
  
  Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan
  
  May 2024
  
  Publication 프로젝트
- Intelligent Overclocking for Improved Cloud Efficiency
  
  Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal
  
  AIOps ’24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024
  
  Preprint
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys’24 | April 2024
  
  Publication
- Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach
  
  Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan
  
  46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024
  
  Preprint
- Workload Intelligence: Punching Holes Through the Cloud Abstraction
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  ArXiv | April 2024, 제 abs/2404.19143 권
  
  Preprint
- OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy
  
  Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan
  
  NSDI 2024 | April 2024
  
  Publication Publication Github 프로젝트 프로젝트
- NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams
  
  Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das
  
  IEEE Big Data 2023 | December 2023
  
  Special session on Machine Learning on Big Data (MLBD)
  
  Publication
- Detection Is Better Than Cure: A Cloud Incidents Perspective
  
  A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra
  
  ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023
  
  Publication
- PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
  
  Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  September 2023
  
  Publication
- How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
  
  Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
  
  DSN’23 | June 2023
  
  Publication
- Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs
  
  Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ASPLOS’23 | March 2023
  
  Publication
- AutoTSG: Learning and Synthesis for Incident Troubleshooting
  
  Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
  
  ESEC/FSE 2022 | November 2022
  
  Publication Publication Publication
- How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service
  
  Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath
  
  SoCC 2022 | November 2022
  
  Best Paper Award
  
  Publication PDF 프로젝트
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication 프로젝트 프로젝트
- Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
  
  Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD’22 | August 2022
  
  Publication 프로젝트 프로젝트
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication 프로젝트 프로젝트
- DeepAnalyze: Learning to Localize Crashes at Scale
  
  Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
  
  ICSE 2022 | May 2022
  
  Publication 프로젝트
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’22 Companion | April 2022
  
  Publication
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD’21 Applied Data Science Track | October 2021
  
  Publication PDF 프로젝트 프로젝트
- How Long Will it Take to Mitigate this Incident for Online Service Systems?
  
  Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  ISSRE’21 | September 2021
  
  Best Research Paper
  
  Publication 프로젝트 프로젝트
- Intelligent container reallocation at Microsoft 365
  
  Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang
  
  2021 Foundations of Software Engineering | August 2021
  
  DOI 프로젝트 프로젝트
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021
  
  Publication 프로젝트 프로젝트
- DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services
  
  Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman
  
  ICSE 2020 | May 2020
  
  PDF 프로젝트
- Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis
  
  Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar
  
  Networked System Design and Implementation (NSDI) | February 2020
  
  Publication 프로젝트
- Building sankie: an AI platform for DevOps
  
  Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava
  
  1st International Workshop on Bots in Software Engineering (BotSE ’19) | May 2019
  
  Publication 프로젝트
- FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services
  
  Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan
  
  International Conference on Software Engineering | May 2019
  
  Publication 프로젝트
- Orca: Differential Bug Localization in Large-Scale Services
  
  Ranjita Bhagwan, Rahul Kumar, Chandra Maddila, Adithya Abraham Philip
  
  13th USENIX Symposium on Operating Systems Design and Implementation | October 2018
  
  Won the Jay Lepreau Best Paper Award
  
  Publication 프로젝트
- Triangle: Empowering Incident Triage with Multi-Agent
  
  Zhaoyang Yu, Aoyang Fang, Minghua Ma, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, et.al
  
  ASE’25 | November 2025
  
  Publication 프로젝트
- AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud
  
  Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan
  
  MLSys ’25 | May 2025
  
  Publication
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys’24 | April 2024
  
  Publication
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication 프로젝트 프로젝트
- Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
  
  Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD’22 | August 2022
  
  Publication 프로젝트 프로젝트
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication 프로젝트 프로젝트
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’22 Companion | April 2022
  
  Publication
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD’21 Applied Data Science Track | October 2021
  
  Publication PDF 프로젝트 프로젝트
- How Long Will it Take to Mitigate this Incident for Online Service Systems?
  
  Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  ISSRE’21 | September 2021
  
  Best Research Paper
  
  Publication 프로젝트 프로젝트
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021
  
  Publication 프로젝트 프로젝트
- Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
  
  Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication 프로젝트 프로젝트 프로젝트
- PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
  
  Chuan Luo, …, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication 프로젝트
- NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
  
  Chuan Luo, Pu Zhao, …, Qingwei Lin 林庆维, …
  
  WWW (TheWebConf) 2021 | February 2021
  
  Publication 프로젝트 프로젝트 프로젝트
- LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers
  
  Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan
  
  May 2024
  
  Publication 프로젝트
- Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
  
  Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan
  
  ICSE 2023 | May 2023
  
  Publication

- Adapting Web Agents with Synthetic Supervision
  
  Zhaoyang Wang, Yiming Liang, Xuchao Zhang, Qianhui Wu, Siwei Han, Anson Bastos, Rujia Wang, Chetan Bansal, Baolin Peng, Jianfeng Gao, Saravan Rajmohan, Huaxiu Yao
  
  November 2025
  
  Publication 프로젝트
- Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems
  
  Fiza Hussain, Anson Bastos, A. Parayil, Ayush Choure, Chetan Bansal, Rujia Wang, Saravan Rajmohan
  
  October 2025
  
  Publication
- LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers
  
  Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan
  
  May 2024
  
  Publication 프로젝트
- Automated Service Design with Cerulean (Project Showcase)
  
  Vaastav Anand, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  2025 IEEE/ACM International Workshop on Cloud Intelligence & AIOps (AIOps) | May 2025, pp. 1-3
  
  DOI Publication
- Synergistic Weak-Strong Collaboration by Aligning Preferences
  
  Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao
  
  ArXiv | April 2025, 제 abs/2504.15188 권
  
  DOI Publication Publication
- Intent-based System Design and Operation
  
  Vaastav Anand, Yichen Li, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems | February 2025
  
  DOI Publication Publication
- Ensuring Fair LLM Serving Amid Diverse Applications
  
  Kunal Jain, Ankur Mallick, A. Parayil, Renee St. Amant, Rujia Wang, Victor Ruehle, Chetan Bansal, Saravan Rajmohan, Redwan Ibne Seraj Khan, Haiying Shen, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Yue Cheng
  
  ArXiv | November 2024
  
  Publication 프로젝트
- Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
  
  A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky
  
  ArXiv | August 2024, 제 abs/2408.13510 권
  
  Preprint
- Workload Intelligence: Punching Holes Through the Cloud Abstraction
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  ArXiv | April 2024, 제 abs/2404.19143 권
  
  Preprint
- Workload Intelligence: Punching Holes Through the Cloud Abstraction
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  April 2024
  
  Preprint
- Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
  
  Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ArXiv | November 2023, 제 abs/2311.04254 권
  
  DOI Publication Publication
- SoftNER: Mining knowledge graphs from Cloud Incidents
  
  Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan
  
  Empirical Software Engineering | April 2022, 제 27 권(4)
  
  Publication
- Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale
  
  Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky
  
  ACM Sigmetrics 2026 | June 2026
  
  Publication 프로젝트
- Workload Intelligence: Workload-Aware IaaS Abstraction for Cloud Efficiency
  
  Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
  
  Supercomputing | November 2025
  
  Publication DOI PDF
- ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving
  
  Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
  
  ACM Symposium on Cloud Computing (SoCC) 2025 | November 2025
  
  Preprint 프로젝트 프로젝트
- Generative Caching for Structurally Similar Prompts and Responses
  
  Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
  
  NeurIPS 2025 | November 2025
  
  Preprint
- Triangle: Empowering Incident Triage with Multi-Agent
  
  Zhaoyang Yu, Aoyang Fang, Minghua Ma, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, et.al
  
  ASE’25 | November 2025
  
  Publication 프로젝트
- REFA: Reference Free Alignment for multi-preference optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  COLM 2025 | July 2025
  
  Publication
- ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
  
  Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  MLSys’25 | May 2025
  
  Publication
- AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud
  
  Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan
  
  MLSys ’25 | May 2025
  
  Publication
- Towards Cloud Efficiency with Large-scale Workload Characterization
  
  A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal
  
  ICPE | May 2025
  
  Preprint
- Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI-Driven Era
  
  Sukrit Kumar, Drishti Goel, Tom Zimmermann, Brian Houck, B. Ashok, Chetan Bansal
  
  ICSE SEIP ’25 | April 2025
  
  Distinguished Paper Award
  
  Preprint
- Performance Aware LLM Load Balancer for Mixed Workloads
  
  Kunal Jain, A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan
  
  EuroMLSys 2025 | April 2025
  
  Publication 프로젝트
- Verifiable Format Control for Large Language Model Generations
  
  Zhaoyang Wang, Jinqi Jiang, Huichi Zhou, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Huaxiu Yao
  
  NAACL | February 2025
  
  DOI Publication Publication
- Building AI Agents for Autonomous Clouds: Challenges and Design Principles
  
  Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
  
  2024 Symposium on Cloud Computing | November 2024
  
  Publication
- Reward Copilot for RL-driven Systems Optimization
  
  Karan Tandon, Manav Mishra, Gagan Somashekar, Mayukh Das, Nagarajan Natarajan
  
  Advances in Neural Information Processing Systems 2024 – Workshop on ML For Systems | November 2024
  
  Publication
- CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling
  
  Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan
  
  2024 Meeting of the Association for Computational Linguistics | October 2024
  
  Publication
- Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning
  
  Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | October 2024
  
  Publication
- Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction
  
  Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | October 2024
  
  Publication
- COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
  
  Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
  
  CIKM’24 | October 2024
  
  PDF
- Large Language Models Can Provide Accurate and Interpretable Incident Triage
  
  Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  2024 International Symposium on Software Reliability Engineering | August 2024
  
  Publication
- Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
  
  Xuchao Zhang, Supriyo GHOSH, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
  
  Foundations of Software Engineering (FSE) | July 2024
  
  Publication
- X-lifecycle Learning for Cloud Incident Management using LLMs
  
  Drishti Goel, Fiza Husain, Aditya Singh, Supriyo GHOSH, A. Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan
  
  Foundations of Software Engineering (FSE) | July 2024
  
  Publication
- MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
  
  Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  Foundations of Software Engineering (FSE) | July 2024
  
  DOI Publication
- MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
  
  Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE’24 Industry Track | July 2024
  
  Publication Publication
- Exploring LLM-based Agents for Root Cause Analysis
  
  Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  FSE ’24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024
  
  Publication 프로젝트
- Designing Cloud Servers for Lower Carbon
  
  Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman
  
  ISCA | June 2024
  
  Publication
- SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
  
  Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini
  
  ISCA | June 2024
  
  Publication
- Dependency Aware Incident Linking in Large Cloud Systems
  
  Supriyo GHOSH, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan
  
  The Web Conference (WWW) | May 2024
  
  Publication
- Intelligent Overclocking for Improved Cloud Efficiency
  
  Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal
  
  AIOps ’24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024
  
  Preprint
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys’24 | April 2024
  
  Publication
- Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach
  
  Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan
  
  46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024
  
  Preprint
- OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy
  
  Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan
  
  NSDI 2024 | April 2024
  
  Publication Publication Github 프로젝트 프로젝트
- Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
  
  Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie
  
  TheWebConf’24 | February 2024
  
  DOI Publication
- NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams
  
  Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das
  
  IEEE Big Data 2023 | December 2023
  
  Special session on Machine Learning on Big Data (MLBD)
  
  Publication
- Detection Is Better Than Cure: A Cloud Incidents Perspective
  
  A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra
  
  ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023
  
  Publication
- How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
  
  Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
  
  DSN’23 | June 2023
  
  Publication
- Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
  
  Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan
  
  ICSE 2023 | May 2023
  
  Publication
- Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs
  
  Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ASPLOS’23 | March 2023
  
  Publication
- AutoTSG: Learning and Synthesis for Incident Troubleshooting
  
  Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
  
  ESEC/FSE 2022 | November 2022
  
  Publication Publication Publication
- How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service
  
  Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath
  
  SoCC 2022 | November 2022
  
  Best Paper Award
  
  Publication PDF 프로젝트
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication 프로젝트 프로젝트
- Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
  
  Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD’22 | August 2022
  
  Publication 프로젝트 프로젝트
- AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement
  
  Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS
  
  ICPR | August 2022
  
  Publication
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  Publication 프로젝트 프로젝트
- DeepAnalyze: Learning to Localize Crashes at Scale
  
  Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari
  
  ICSE 2022 | May 2022
  
  Publication 프로젝트
- Spot Virtual Machine Eviction Prediction in Microsoft Cloud
  
  Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW’22 Companion | April 2022
  
  Publication
- HALO: Hierarchy-aware Fault Localization for Cloud Systems
  
  Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
  
  SigKDD’21 Applied Data Science Track | October 2021
  
  Publication PDF 프로젝트 프로젝트
- How Long Will it Take to Mitigate this Incident for Online Service Systems?
  
  Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
  
  ISSRE’21 | September 2021
  
  Best Research Paper
  
  Publication 프로젝트 프로젝트
- Intelligent container reallocation at Microsoft 365
  
  Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang
  
  2021 Foundations of Software Engineering | August 2021
  
  DOI 프로젝트 프로젝트
- Fighting the Fog of War: Automated Incident Detection for Cloud Systems
  
  Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
  
  2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021
  
  Publication 프로젝트 프로젝트
- Neural Knowledge Extraction From Cloud Service Incidents
  
  Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann
  
  43rd International Conference on Software Engineering (ICSE ’21) – SEIP Track | May 2021
- Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
  
  Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication 프로젝트 프로젝트 프로젝트
- PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
  
  Chuan Luo, …, Qingwei Lin 林庆维
  
  AAAI’21 | March 2021
  
  Publication 프로젝트
- NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
  
  Chuan Luo, Pu Zhao, …, Qingwei Lin 林庆维, …
  
  WWW (TheWebConf) 2021 | February 2021
  
  Publication 프로젝트 프로젝트 프로젝트
- DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services
  
  Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman
  
  ICSE 2020 | May 2020
  
  PDF 프로젝트
- Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis
  
  Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar
  
  Networked System Design and Implementation (NSDI) | February 2020
  
  Publication 프로젝트
- WhoDo: Automating Reviewer Suggestions at Scale
  
  Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Chetan Bansal, Christian Bird, Chandra Maddila, Sonu Mehta, B. Ashok
  
  ESEC/FSE 2019 | August 2019
  
  Publication 프로젝트
- Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
  
  Chandra Maddila, Chetan Bansal, Nachi Nagappan
  
  ESEC/FSE 2019 | August 2019
  
  Publication 프로젝트
- Building sankie: an AI platform for DevOps
  
  Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava
  
  1st International Workshop on Bots in Software Engineering (BotSE ’19) | May 2019
  
  Publication 프로젝트
- FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services
  
  Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan
  
  International Conference on Software Engineering | May 2019
  
  Publication 프로젝트
- Orca: Differential Bug Localization in Large-Scale Services
  
  Ranjita Bhagwan, Rahul Kumar, Chandra Maddila, Adithya Abraham Philip
  
  13th USENIX Symposium on Operating Systems Design and Implementation | October 2018
  
  Won the Jay Lepreau Best Paper Award
  
  Publication 프로젝트
- FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents
  
  Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan
  
  October 2024
  
  Publication 프로젝트
- PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
  
  Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  September 2023
  
  Publication

AIOps

출판물

Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale

Workload Intelligence: Workload-Aware IaaS Abstraction for Cloud Efficiency

ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving

Adapting Web Agents with Synthetic Supervision

Generative Caching for Structurally Similar Prompts and Responses

Triangle: Empowering Incident Triage with Multi-Agent

Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems

REFA: Reference Free Alignment for multi-preference optimization

AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud

ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud

Towards Cloud Efficiency with Large-scale Workload Characterization

Automated Service Design with Cerulean (Project Showcase)

Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI-Driven Era

Synergistic Weak-Strong Collaboration by Aligning Preferences

Performance Aware LLM Load Balancer for Mixed Workloads

Intent-based System Design and Operation

Verifiable Format Control for Large Language Model Generations

Ensuring Fair LLM Serving Amid Diverse Applications

Building AI Agents for Autonomous Clouds: Challenges and Design Principles

Reward Copilot for RL-driven Systems Optimization

CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction

FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling

Large Language Models Can Provide Accurate and Interpretable Incident Triage

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4

X-lifecycle Learning for Cloud Incident Management using LLMs

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models

Exploring LLM-based Agents for Root Cause Analysis

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models

Designing Cloud Servers for Lower Carbon

SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud

LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers

Dependency Aware Incident Linking in Large Cloud Systems

Intelligent Overclocking for Improved Cloud Efficiency

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach

OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy

Workload Intelligence: Punching Holes Through the Cloud Abstraction

Workload Intelligence: Punching Holes Through the Cloud Abstraction

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective

NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams

Detection Is Better Than Cure: A Cloud Incidents Perspective

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs

AutoTSG: Learning and Synthesis for Incident Troubleshooting

How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach

DeepAnalyze: Learning to Localize Crashes at Scale

SoftNER: Mining knowledge graphs from Cloud Incidents

Spot Virtual Machine Eviction Prediction in Microsoft Cloud

HALO: Hierarchy-aware Fault Localization for Cloud Systems

How Long Will it Take to Mitigate this Incident for Online Service Systems?

Intelligent container reallocation at Microsoft 365

Fighting the Fog of War: Automated Incident Detection for Cloud Systems

Neural Knowledge Extraction From Cloud Service Incidents

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems

PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms

DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services

Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis

WhoDo: Automating Reviewer Suggestions at Scale

Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services

Building sankie: an AI platform for DevOps

FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services

Orca: Differential Bug Localization in Large-Scale Services

Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale

Workload Intelligence: Workload-Aware IaaS Abstraction for Cloud Efficiency

ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving

Adapting Web Agents with Synthetic Supervision