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Abstract: This thesis presents a family of Markov models for analyzing the performance of parallel /distributed systems that execute a job consisting of N independent and idempotent tasks using P fault-prone processors in parallel. A prototype implemented using an extended version of ACMPI is used for actual experiments that are based on simulated tasktimes and processor failures. The model is a Markov Chain with states representing service and failure rates with k (0 ! k P ) active processors. The... (Update)
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BibTeX entry: (Update)
@misc{ weerasinghe-performance,
author = "Don Moses Gehan Weerasinghe",
title = "Performance Modelling and Experimental Evaluation of Systems that Perform
N Tasks using P fault-prone Processors in Parallel",
url = "citeseer.ist.psu.edu/weerasinghe02performance.html" }
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