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- W2046735430 abstract ": This paper presents a knowledge-based system for task allocation in a network of processors. Since the problem is NP-complete, optimisation techniques are computationally prohibitive and impractical. Our approach reduces computational burden by using (1) a two-level hierarchical scheduling model to alleviate the problem complexity, and (2) a search strategy that uses knowledge from the knowledge base to limit the search space to a manageable size. The major goal of our approach is to generate good but not necessarily optimal solutions quickly. The system is implemented on a Sun SPARCstation 1 + using Common Lisp. Our computational experience in using this system for task allocation indicates that the two-level hierarchical approach generates better schedules in shorter computational time than a non-hierarchical approach." @default.
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- W2046735430 date "1995-11-01" @default.
- W2046735430 modified "2023-09-28" @default.
- W2046735430 title "A knowledge-based approach for task allocation in heterogeneous distributed computer systems" @default.
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- W2046735430 doi "https://doi.org/10.1111/j.1468-0394.1995.tb00267.x" @default.
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