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ChainReaction: a causal+ consistent datastore based on chain replication

Published: 15 April 2013 Publication History

Abstract

This paper proposes a Geo-distributed key-value datastore, named ChainReaction, that offers causal+ consistency, with high performance, fault-tolerance, and scalability. ChainReaction enforces causal+ consistency which is stronger than eventual consistency by leveraging on a new variant of chain replication. We have experimentally evaluated the benefits of our approach by running the Yahoo! Cloud Serving Benchmark. Experimental results show that ChainReaction has better performance in read intensive workloads while offering competitive performance for other workloads. Also we show that our solution requires less metadata when compared with previous work.

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cover image ACM Conferences
EuroSys '13: Proceedings of the 8th ACM European Conference on Computer Systems
April 2013
401 pages
ISBN:9781450319942
DOI:10.1145/2465351
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 15 April 2013

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Author Tags

  1. causal+ consistency
  2. chain-replication
  3. geo-replication
  4. key-value storage

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  • Research-article

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EuroSys '13
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EuroSys '13: Eighth Eurosys Conference 2013
April 15 - 17, 2013
Prague, Czech Republic

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EuroSys '13 Paper Acceptance Rate 28 of 143 submissions, 20%;
Overall Acceptance Rate 241 of 1,308 submissions, 18%

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Twentieth European Conference on Computer Systems
March 30 - April 3, 2025
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