Client-centric benchmarking of eventual consistency for cloud storage systems

Authors:
Wojciech Golab;Muntasir Raihan Rahman;Alvin Au Young;Kimberly Keeton;Jay J. Wylie;Indranil Gupta
Affiliations:
University of Waterloo;University of Illinois at Urbana-Champaign;HP Labs, Palo Alto;HP Labs, Palo Alto;LinkedIn Inc.;University of Illinois at Urbana-Champaign
Venue:
Proceedings of the 4th annual Symposium on Cloud Computing
Year:
2013

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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"?