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Fifth IEEE/ACM International Workshop on Grid Computing (GRID'04)
DiPerF: An Automated DIstributed PERformance Testing Framework
Pittsburgh, PA
November 08-November 08
ISBN: 0-7695-2256-4
Catalin Dumitrescu, The University of Chicago
Ioan Raicu, The University of Chicago
Matei Ripeanu, The University of Chicago
Ian Foster, The University of Chicago; Argonne National Laboratory
We present DiPerF, a distributed performance-testing framework, aimed at simplifying and automating service performance evaluation. DiPerF coordinates a pool of machines that test a target service, collects and aggregates performance metrics, and generates performance statistics. The aggregate data collected provide information on service throughput, on service 'fairness' when serving multiple clients concurrently, and on the impact of network latency on service performance. Furthermore, using this data, it is possible to build predictive models that estimate a service performance given the service load. We have tested DiPerF on 100+ machines on two testbeds, Grid3 and PlanetLab, and explored the performance of job submission services (pre-WS GRAM and WS GRAM) included with Globus Toolkit ? 3.2.
Citation:
Catalin Dumitrescu, Ioan Raicu, Matei Ripeanu, Ian Foster, "DiPerF: An Automated DIstributed PERformance Testing Framework," grid, pp.289-296, Fifth IEEE/ACM International Workshop on Grid Computing (GRID'04), 2004
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