A Scalable Partial-Order Data Structure for Distributed-System Observation
Distributed-system observation is foundational to understanding and controlling distributed computations. Existing tools for distributed-system observation are constrained in the size of computation that they can observe by three fundamental problems. They lack scalable information collection,...
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Format: | Others |
Language: | en |
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University of Waterloo
2006
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Online Access: | http://hdl.handle.net/10012/1161 |