Proceedings of the 6th International Workshop on Software and Performance 2007
DOI: 10.1145/1216993.1217026
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Hybrid performance modeling approach for network intensive distributed software

Abstract: When designing and evaluating software architectures and network facilities for hosting demanding distributed applications, taking performance considerations into account is essential. A key factor in assessing the performance of such a distributed system is the network latency and its relation to the application behaviour. In this respect, it is important to include the performance impact of the network into the performance models used during the entire design cycle of the system.A framework is proposed that … Show more

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Cited by 11 publications
(3 citation statements)
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“…12(a)). This is due to the higher network load because of the larger file sizes, which leads to a higher distortion of the measurements [24]. However, the most probable predicted and measured values are both around 9.5 seconds.…”
Section: Resultsmentioning
confidence: 99%
“…12(a)). This is due to the higher network load because of the larger file sizes, which leads to a higher distortion of the measurements [24]. However, the most probable predicted and measured values are both around 9.5 seconds.…”
Section: Resultsmentioning
confidence: 99%
“…It could be possible to segment a large model into smaller parts and solve individual parts using analytical techniques and using the results to create a simulation model or vice versa. Verdickt et al [87] integrate a network simulator into an analytical performance solver for LQNs. Such techniques could improve the accuracy of predictions for network intensive component-based systems.…”
Section: Future Directionsmentioning
confidence: 99%
“…Recent hybrid modeling approaches exist for network processor design [12] and to combine software design evaluation with network specific architecture in [13], where analytical and simulation solution procedures are applied one after the other iteratively.…”
Section: Related Workmentioning
confidence: 99%