VCorfu: A cloud-scale object store on a shared log

Michael Wei, Amy Tai, Christopher J. Rossbach, Ittai Abraham, Maithem Munshed, Medhavi Dhawan, Jim Stabile, Udi Wieder, Scott Fritchie, Steven Swanson, Michael J. Freedman, Dahlia Malkhi

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

27 Scopus citations

Abstract

This paper presents vCorfu, a strongly consistent cloud-scale object store built over a shared log. vCorfu augments the traditional replication scheme of a shared log to provide fast reads and leverages a new technique, composable state machine replication, to compose large state machines from smaller ones, enabling the use of state machine replication to be used to efficiently in huge data stores. We show that vCorfu outperforms Cassandra, a popular state-of-the art NOSQL stores while providing strong consistency (opacity, read-own-writes), efficient transactions, and global snapshots at cloud scale.

Original languageEnglish (US)
Title of host publicationProceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2017
PublisherUSENIX Association
Pages35-49
Number of pages15
ISBN (Electronic)9781931971379
StatePublished - 2017
Event14th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2017 - Boston, United States
Duration: Mar 27 2017Mar 29 2017

Publication series

NameProceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2017

Conference

Conference14th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2017
Country/TerritoryUnited States
CityBoston
Period3/27/173/29/17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Control and Systems Engineering

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