Quantitative system performance: computer system analysis using queueing network models
Quantitative system performance: computer system analysis using queueing network models
Actors: a model of concurrent computation in distributed systems
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Proceedings of the 1st international workshop on Software and performance
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AGTIVE '99 Proceedings of the International Workshop on Applications of Graph Transformations with Industrial Relevance
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EDOC '01 Proceedings of the 5th IEEE International Conference on Enterprise Distributed Object Computing
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Performance Evaluation
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IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 15 - Volume 16
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DEAS '05 Proceedings of the 2005 workshop on Design and evolution of autonomic application software
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WOSP '08 Proceedings of the 7th international workshop on Software and performance
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Rule-based automatic software performance diagnosis and improvement
Performance Evaluation
Rule-based automatic software performance diagnosis and improvement
Performance Evaluation
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Software bottlenecks are performance constraints caused by slow execution of a software task. In typical client-server systems a client task must wait in a blocked state for the server task to respond to its requests, so a saturated server will slow down all its clients. A Rendezvous Network generalizes this relationship to multiple layers of servers with send-and-wait interactions (rendezvous), a two-phase model of task behavior, and to a unified model for hardware and software contention. Software bottlenecks have different symptoms, different behavior when the system is altered, and a different cure from the conventional bottlenecks seen in queueing network models of computer systems, caused by hardware limits. The differences are due to the 驴push-back驴 effect of the rendezvous, which spreads the saturation of a server to its clients. The paper describes software bottlenecks by examples, gives a definition, shows how they can be located and alleviated, and gives a method for estimating the performance benefit to be obtained. Ultimately, if all the software bottlenecks can be removed, the performance limit will be due to a conventional hardware bottleneck.