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    Interactive computational steering : conservative vs optimistic steering approaches

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    Date
    2002-12
    Author
    Selvaraj, Arumugaraja
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    Abstract
    Interactive Computational Steering is the online, interactive allocation and adjustment of system resources and application parameters. Causal consistency is an important feature of interactive steering of distributed computations, as it is often required to maintain the correctness of the computation. However, due to the asynchronous nature of distributed computations, it is difficult to coordinate steering changes across processes to guarantee that the changes are applied consistently at all processes. Two general approaches exist for achieving interactive computational steering: conservative steering and optimistic steering. In this thesis, we present algorithms for the conservative steering approach. We also compare the performance of the conservative steering approach with that of the optimistic steering approach with regard to perturbation and lag.
    URI
    http://purl.galileo.usg.edu/uga_etd/selvaraj_arumugaraja_200212_ms
    http://hdl.handle.net/10724/20662
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    • University of Georgia Theses and Dissertations

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