Reliable communication in the presence of failures
ACM Transactions on Computer Systems (TOCS)
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ACM Transactions on Computer Systems (TOCS)
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ACM Computing Surveys (CSUR)
Unreliable failure detectors for reliable distributed systems
Journal of the ACM (JACM)
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ACM Transactions on Computer Systems (TOCS)
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Communications of the ACM
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Totally ordered multicast in large-scale systems
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Exploiting Virtual Synchrony in Distributed Systems
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ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
Appia: A Flexible Protocol Kernel Supporting Multiple Coordinated Channels
ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
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Total order broadcast and multicast algorithms: Taxonomy and survey
ACM Computing Surveys (CSUR)
From spontaneous total order to uniform total order: different degrees of optimistic delivery
Proceedings of the 2006 ACM symposium on Applied computing
Structural and algorithmic issues of dynamic protocol update
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Adaptive broadcast by distributed protocol switching
Proceedings of the 2007 ACM symposium on Applied computing
Modelling adaptive services for distributed systems
Proceedings of the 2008 ACM symposium on Applied computing
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OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
Fault-tolerant topology adaptation by localized distributed protocol switching
HiPC'07 Proceedings of the 14th international conference on High performance computing
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ICDCN'08 Proceedings of the 9th international conference on Distributed computing and networking
Adaptive broadcast by fault-tolerant spanning tree switching
Journal of Parallel and Distributed Computing
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Journal of Parallel and Distributed Computing
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Total order broadcast protocols are a fundamental building block in the construction of many fault-tolerant distributed applications. Unfortunately, total order is an intrinsically expensive operation. Moreover, there are certain algorithms that perform better in specific scenarios and given network properties. This paper proposes and evaluates an adaptive protocol that is able to dynamically switch between different total order algorithms. The protocol allows to achieve the best possible performance, by selecting, in each moment, the algorithm that is most appropriate to the present network conditions. Experimental results show that, using our protocol, adaptation can be achieved with negligible interference with the data flow.