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An Optimization Framework for Dynamic, Distributed Real-Time Systems
Nice, France April 22-April 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IPDPS.2003.1213221International Parallel and Distribute ...
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Klaus Ecker, Technical University of Clausthal
David Juedes, Ohio University
Lonnie Welch, Ohio University
David Chelberg, Ohio University
Carl Bruggeman, Ohio University
Frank Drews, Ohio University
David Fleeman, Ohio University
David Parrott, Ohio University
Barbara Pfarr, NASA Goddard Space Flight Center
This paper presents a model that is useful for developing resource allocation algorithms for distributed real-time systems that operate in dynamic environments. Interesting aspects of the model include dynamic environments, utility and service levels, which provide a means for graceful degradation in resource-constrained situations and support optimization of the allocation of resources. The paper also provides an allocation algorithm that illustrates how to use the model for producing feasible, optimal resource allocations.
Citation:
Klaus Ecker, David Juedes, Lonnie Welch, David Chelberg, Carl Bruggeman, Frank Drews, David Fleeman, David Parrott, Barbara Pfarr, "An Optimization Framework for Dynamic, Distributed Real-Time Systems," ipdps, pp.111b, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003
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