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ACM Transactions on Programming Languages and Systems (TOPLAS)
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ACM Transactions on Computer Systems (TOCS)
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Proceedings of the sixteenth ACM symposium on Operating systems principles
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ACM Transactions on Database Systems (TODS)
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Proceedings of the nineteenth annual ACM symposium on Principles of distributed computing
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OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
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Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
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PRDC '09 Proceedings of the 2009 15th IEEE Pacific Rim International Symposium on Dependable Computing
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ACM SIGOPS Operating Systems Review
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Object storage on CRAQ: high-throughput chain replication for read-mostly workloads
USENIX'09 Proceedings of the 2009 conference on USENIX Annual technical conference
FAWN: a fast array of wimpy nodes
Communications of the ACM
Transactional storage for geo-replicated systems
SOSP '11 Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles
Don't settle for eventual: scalable causal consistency for wide-area storage with COPS
SOSP '11 Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles
From paxos to CORFU: a flash-speed shared log
ACM SIGOPS Operating Systems Review
Orbe: scalable causal consistency using dependency matrices and physical clocks
Proceedings of the 4th annual Symposium on Cloud Computing
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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.