Client-centric benchmarking of eventual consistency for cloud storage systems

Wojciech Golab, Muntasir Raihan Rahman, Alvin Auyoung, Kimberly Keeton, Jay J. Wylie, Indranil Gupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Eventually consistent storage systems give up the ACID semantics of conventional databases in order to gain better scalability, higher availability, and lower latency. A side-effect of this design decision is that application developers must deal with stale or out of order data. As a result, substantial intellectual effort has been devoted to studying the behavior of eventually consistent systems, in particular finding quantitative answers to the questions "how eventual" and "how consistent"?

Original languageEnglish (US)
Title of host publicationProceedings of the 4th Annual Symposium on Cloud Computing, SoCC 2013
PublisherAssociation for Computing Machinery
ISBN (Print)9781450324281
DOIs
StatePublished - Jan 1 2013
Event4th Annual Symposium on Cloud Computing, SoCC 2013 - Santa Clara, CA, United States
Duration: Oct 1 2013Oct 3 2013

Publication series

NameProceedings of the 4th Annual Symposium on Cloud Computing, SoCC 2013

Other

Other4th Annual Symposium on Cloud Computing, SoCC 2013
CountryUnited States
CitySanta Clara, CA
Period10/1/1310/3/13

ASJC Scopus subject areas

  • Software

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  • Cite this

    Golab, W., Rahman, M. R., Auyoung, A., Keeton, K., Wylie, J. J., & Gupta, I. (2013). Client-centric benchmarking of eventual consistency for cloud storage systems. In Proceedings of the 4th Annual Symposium on Cloud Computing, SoCC 2013 [28] (Proceedings of the 4th Annual Symposium on Cloud Computing, SoCC 2013). Association for Computing Machinery. https://doi.org/10.1145/2523616.2525935