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Abstract tate machine replication is a fundamental tate machine replication is a fundamental technique for implementing consistent fault-tolerant services. In the last years, several protocols have been proposed for improving the latency of this technique when the replicas are deployed in geographically-dispersed locations. In this work we evaluate some representative optimizations proposed in the literature by implementing them on an open-source state machine replication library and running the experiments in geographically-diverse PlanetLab nodes and Amazon EC2 regions. Interestingly, our results show that some optimizations widely used for improving the latency of geo-replicated state machines do not bring significant benefits, while others – not yet considered in this context – are very effective. Based on this evaluation, we propose WHEAT, a configurable crash and Byzantine fault-tolerant state machine replication library that uses the optimizations we observed as most effective in reducing SMR latency. WHEAT employs novel voting assignment schemes that, by using few additional spare replicas, enable the system to make progress without needing to access a majority of replicas. Our evaluation shows that a WHEAT system deployed in several Amazon EC2 regions presents a median latency up to 56% lower than a “normal” SMR protocol. % lower than a “normal” SMR protocol.
Author João Sousa + , Alysson Bessani +
Institution Faculdade de Ciências, Universidade de Lisboa, Portugal  +
Key Sousa2015wheat-tech-report  +
Month jul  +
NumPubDate 2,015.07  +
Project Project:SUPERCLOUD +
ResearchLine Fault and Intrusion Tolerance in Open Distributed Systems (FIT) +
Title Separating the WHEAT from the Chaff: An Empirical Design for Geo-Replicated State Machines (extended version)  +
Type techreport  +
Url  +
Year 2015  +
Categories Publication  +
Modification dateThis property is a special property in this wiki. 8 June 2018 10:07:23  +
NumberThis property is a special property in this wiki. TR-2015-04  +
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