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dc.contributor.advisorBarbara Liskov
dc.contributor.authorCowling, James
dc.contributor.authorMyers, Daniel
dc.contributor.authorLiskov, Barbara
dc.contributor.authorRodrigues, Rodrigo
dc.contributor.authorShrira, Liuba
dc.contributor.otherProgramming Methodology
dc.date.accessioned2007-02-13T06:17:18Z
dc.date.available2007-02-13T06:17:18Z
dc.date.issued2007-02-12
dc.identifier.otherMIT-CSAIL-TR-2007-009
dc.identifier.urihttp://hdl.handle.net/1721.1/35888
dc.description.abstractThere are currently two approaches to providing Byzantine-fault-tolerant state machine replication: a replica-based approach, e.g., BFT, that uses communication between replicas to agree on a proposed ordering of requests, and a quorum-based approach, such as Q/U, in which clients contact replicas directly to optimistically execute operations. Both approaches have shortcomings: the quadratic cost of inter-replica communication is unnecessary when there is no contention, and Q/U requires a large number of replicas and performs poorly under contention.We present HQ, a hybrid Byzantine-fault-tolerant state machine replication protocol that overcomes these problems. HQ employs a lightweight quorum-based protocol when there is no contention, but uses BFT to resolve contention when it arises. Furthermore, HQ uses only 3f+1 replicas to tolerate f faults, providing optimal resilience to node failures.We implemented a prototype of HQ, and we compare its performance to BFT and Q/U analytically and experimentally. Additionally, in this work we use a new implementation of BFT designed to scale as the number of faults increases. Our results show that both HQ and our new implementation of BFT scale as f increases; additionally our hybrid approach of using BFT to handle contention works well.
dc.format.extent18 p.
dc.relation.ispartofseriesMassachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory
dc.titleHQ Replication: Properties and Optimizations


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