Robustness of resource allocations in parallel and distributed computing systems, The
This corresponds to the material in the invited keynote presentation by H. J. Siegel, summarizing the research in [2, 23]. Resource allocation decisions in heterogeneous parallel and distributed computer systems and associated performance prediction are often based on estimated values of application and system parameters, whose actual values are uncertain and may be differ from the estimates. We have designed a model for deriving the degree of robustness of a resource allocation--the maximum amount of collective uncertainty in parameters within which a user-specified level of system performance ...
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