{"id":156544,"date":"2005-04-01T00:00:00","date_gmt":"2005-04-01T00:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/surviving-internet-catastrophes\/"},"modified":"2018-10-16T20:45:33","modified_gmt":"2018-10-17T03:45:33","slug":"surviving-internet-catastrophes","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/surviving-internet-catastrophes\/","title":{"rendered":"Surviving Internet Catastrophes"},"content":{"rendered":"<p>In this paper, we propose a new approach for designing distributed systems to survive Internet catastrophes called informed replication, and demonstrate this approach with the design and evaluation of a cooperative backup system called the Phoenix Recovery Service. Informed replication uses a model of correlated failures to exploit software diversity. The key observation that makes our approach both feasible and practical is that Internet catastrophes result from shared vulnerabilities. By replicating a system service on hosts that do not have the same vulnerabilities, an Internet pathogen that exploits a vulnerability is unlikely to cause all replicas to fail. To characterize software diversity in an Internet setting, we measure the software diversity of host operating systems and network services in a large organization. We then use insights from our measurement study to develop and evaluate heuristics for computing replica sets that have a number of attractive features. Our heuristics provide excellent reliability guarantees, result in low degree of replication, limit the storage burden on each host in the system, and lend themselves to a fully distributed implementation. We then present the design and prototype implementation of Phoenix, and evaluate it on the PlanetLab testbed.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this paper, we propose a new approach for designing distributed systems to survive Internet catastrophes called informed replication, and demonstrate this approach with the design and evaluation of a cooperative backup system called the Phoenix Recovery Service. Informed replication uses a model of correlated failures to exploit software diversity. The key observation that makes [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"USENIX","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"Proceedings of the USENIX Annual Techincal Conference","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Proceedings of the USENIX Annual Techincal Conference","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Alejandro Hevia, Keith Marzullo, Stefan Savage, Geoffrey M. 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