How to assign votes in a distributed system
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Consistency in a partitioned network: a survey
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A weighted voting algorithm for replicated directories
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Maintaining availability in partitioned replicated databases
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Increasing availability under mutual exclusion constraints with dynamic vote reassignment
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Dynamic voting algorithms for maintaining the consistency of a replicated database
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Disconnected operation in the Coda file system
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Lightweight recoverable virtual memory
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Enriched View Synchrony: A Programming Paradigm for Partitionable Asynchronous Distributed Systems
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Reliable Distributed Computing with the ISIS Toolkit
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Weighted voting for replicated data
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SRDS '97 Proceedings of the 16th Symposium on Reliable Distributed Systems
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ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
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ICDCS '98 Proceedings of the The 18th International Conference on Distributed Computing Systems
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ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
View Synchronous Communication in Large Scale Networks
View Synchronous Communication in Large Scale Networks
The ensemble system
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We consider programming network applications that are based on the process group paradigm. When such applications are deployed in unreliable networks, they may partition into several disconnected clusters causing multiple views of the group's current composition to exist concurrently. In this paper we propose a mechanism for efficiently deciding when a view constitutes the "primary partition" for the group. Our solution is highly flexible and has the following features: possibility to modify selection rules at run-time without having to halt and restart the application: support for dynamic groups whose membership may change not only due to failures recoveries but also due to processes voluntarily joining and leaving; ability to re-establish a primary partition even after a "total failure" scenario where all group members crash. These features facilitate the development of partition-aware applications that are capable of "adapting" themselves to their operating environment by establishing selection rules based on observed execution characteristics.