Titlebook: Computer Performance Evaluation: Modelling Techniques and Tools; Modelling Techniques Günter Haring,Gabriele Kotsis Conference proceedings

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Experimental analysis of parallel systems: Techniques and open problems,ation, data reduction costs, and presentation complexity requires a mix of science, engineering, and art. This paper surveys current techniques for performance instrumentation and data presentation, illustrates one approach to tool extensibility, and discusses the implications of massive parallelism for performance analysis environments.

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Computer Performance Evaluation: Modelling Techniques and Tools978-3-540-48416-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/978-3-8349-9751-7ation, data reduction costs, and presentation complexity requires a mix of science, engineering, and art. This paper surveys current techniques for performance instrumentation and data presentation, illustrates one approach to tool extensibility, and discusses the implications of massive parallelism for performance analysis environments.

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Problem situation and research approach,nt. With the emergence of high performance and reliability systems the problem of how to analyze such systems has become increasingly more difficult. Traditional assumptions of independent events, exponential distributions and other such “convenient” assumptions no longer model systems realistically

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https://doi.org/10.1007/978-3-642-35389-5based distributed applications, using a model-based optimization procedure. The PM receives information about the ANSAware-based application from a distributed monitoring process based on JEWEL and DEMON. With this information, and using predefined stochastic Petri net (SPN) models of ANSAware appli

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