Cluster scheduling
We consider various scheduling problems that arise in large clusters including multi-resource packing and dependency-aware scheduling. Our solutions have analytical foundations and are used in Microsoft’s data-parallel clusters. Some have also shipped with Yarn. Skim…
Quickr: Cost-Effective Data Analytics at Scale
Quickr explores cost-effective data analytics at scale, breaking new ground in research on offering approximate answers for complex ad-hoc queries.
Microsoft Embedded Social – sample for syncing topics between your own service and Embedded Social
Service that synchronizes topics between OneBusAway servers and the Microsoft Embedded Social service.
Data Management, Exploration and Mining (DMX)
The Data Management, Mining and Exploration (DMX) Group at Microsoft Research was established in 1999 and was managed by Surajit Chaudhuri. In 2020, DMX and the Database Group merged to form the current Data Systems…
Project Sirius
Project Sirius is investigating whether ultra-fast optical switching within data centers could allow us to sidestep these disruptions. It aims to develop an all-optical, data-center-wide network that is completely flat, in contrast to the hierarchy…
Project Iris
Project Iris explores novel designs of regional and Wide Area (WAN) cloud networks from the ground-up motivated by the rapid growth of cloud network traffic across data centers. Building upon recent advancements in optical technologies,…