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    Resource management in heterogeneous computing systems with tasks of varying importance

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    http://hdl.handle.net/10217/83746
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    Khemka_colostate_0053A_12581.pdf (3.267Mb)
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    Abstract
    The problem of efficiently assigning tasks to machines in heterogeneous computing environments where different tasks can have different levels of importance (or value) to the computing system is a challenging one. The goal of this work is to study this problem in a variety of environments. One part of the study considers a computing system and its corresponding workload based on the expectations for future environments of Department of Energy and Department of Defense interest. We design heuristics to maximize a performance metric created using utility functions. We also create a framework to ...
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    Author(s)
    Khemka, Bhavesh

    Advisor(s)
    Maciejewski, Anthony A.; Siegel, H. J.

    Date Issued
    2014
    Format
    born digital; doctoral dissertations
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    • 2000-2019 - CSU Theses and Dissertations
    • Theses and Dissertations - Department of Electrical and Computer Engineering

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