Fragola: Low-latency transactions in distributed data stores

Yonatan Gottesman, Aran Bergman, Edward Bortnikov, Eshcar Hillel, Idit Keidar, Ohad Shacham

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As transaction processing services begin to be used in new application domains, low transaction latency becomes an important consideration. Motivated by such use cases we developed Fragola, a highly scalable low-latency and high-throughput transaction processing engine for Apache HBase. Similarly to other modern transaction managers, Fragola provides a variant of generalized snapshot isolation (SI), which scales better than traditional serializability implementations.

Original languageEnglish
Title of host publicationSoCC 2017 - Proceedings of the 2017 Symposium on Cloud Computing
Pages642
Number of pages1
ISBN (Electronic)9781450350280
DOIs
StatePublished - 24 Sep 2017
Event2017 Symposium on Cloud Computing, SoCC 2017 - Santa Clara, United States
Duration: 24 Sep 201727 Sep 2017

Publication series

NameSoCC 2017 - Proceedings of the 2017 Symposium on Cloud Computing

Conference

Conference2017 Symposium on Cloud Computing, SoCC 2017
Country/TerritoryUnited States
CitySanta Clara
Period24/09/1727/09/17

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Theoretical Computer Science

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