Read e-book online Performance Evaluation: Metrics, Models and Benchmarks: SPEC PDF

By Mor Harchol-Balter (auth.), Samuel Kounev, Ian Gorton, Kai Sachs (eds.)

ISBN-10: 3540698132

ISBN-13: 9783540698135

ISBN-10: 3540698140

ISBN-13: 9783540698142

This e-book constitutes the refereed lawsuits of the SPEC overseas functionality review Workshop, SIPEW 2008, held in Darmstadt, Germany, in June 2008.

The 17 revised complete papers provided including three keynote talks have been rigorously reviewed and chosen out of 39 submissions for inclusion within the booklet. The papers are geared up in topical sections on versions for software program functionality engineering; benchmarks and workload characterization; net providers and service-oriented architectures; energy and function; and profiling, tracking and optimization.

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Read Online or Download Performance Evaluation: Metrics, Models and Benchmarks: SPEC International Performance Evaluation Workshop, SIPEW 2008, Darmstadt, Germany, June 27-28, 2008. Proceedings PDF

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Additional info for Performance Evaluation: Metrics, Models and Benchmarks: SPEC International Performance Evaluation Workshop, SIPEW 2008, Darmstadt, Germany, June 27-28, 2008. Proceedings

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Consider for instance if the directory server in Figure 7 were shared among 30 replicas of the application, it would be an important limitation. Or imagine a database buffer pool which is not restricting at the scales of the test, but which becomes a constraint in larger systems. Some comments follow: 1. Many parameters which are insensitive in small-scale testing are always insensitive, and therefore their accuracy is not critical. The model itself can be used to calculate the sensitivity in large-scale versions, if it is a concern.

Recent developments in the analysis of stochastic process algebra models allow for transient measures of very large models to be extracted. By performing so-called fluid analysis of stochastic process algebra models, it is now feasible to analyse systems of size 101000 states and beyond. This paper seeks to extend the type of measure that can be extracted from this style of fluid analysis. We present a systematic transformation of a PEPA model that will allow us to extract measures analogous to response times.

Specific notation in Model 2 is introduced as follows. The subscript j in KDCj corresponds to a binary representation of the request status of node i, such that the ith bit is 1 if Alicei is awaiting a response from the KDC and 0 otherwise. The rate of each responsei action in KDCj is rp divided by the number of responsei ’s enabled. It is worth observing here that Model 2 is cumbersome to specify; if we want to consider an extra client that no only needs to be specified as new Alicej and Bobj components, but also the KDC component needs to be modified to incorporate the additional behaviours, requestj and responsej .

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Performance Evaluation: Metrics, Models and Benchmarks: SPEC International Performance Evaluation Workshop, SIPEW 2008, Darmstadt, Germany, June 27-28, 2008. Proceedings by Mor Harchol-Balter (auth.), Samuel Kounev, Ian Gorton, Kai Sachs (eds.)


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