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- W2089274611 abstract "Distributed processor systems are currently used for advanced, high-speed computation in application areas such as image processing, artificial intelligence, signal processing, and general data processing. The use of distributed and parallel processor computer systems today requires systems designers to partition an application into at least as many functions as there are processors. Spare processors must be allocated and function migration paths must be designed to allow fault tolerant reconfiguration. The parallel process/ parallel architecture control simulation (PPCS) models parallel task allocation on a distributed processor architecture. Parallel task allocation is a first step in designing a dynamic parallel processor operating system that automatically assigns and reassigns application tasks to processors. Advantages of this approach are: dynamic reconfigurability removing the need for spare processing power reserved for failures; the reduced need for fallback and recovery software for fault detection; more optimized partitioning of functions; and better load balancing over available processors. PPCS models various distributed processing configurations, task dependencies, and the scheduling of the tasks onto the processor architecture. The PPCS system implements fifteen different heuristic scheduling algorithms to map a set of tasks onto the processing nodes of a distributed computer. The simulation shows the feasibility of using fast algorithms to heuristically schedule a system of multiple processors allowing dynamic task allocation." @default.
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- W2089274611 date "1987-01-01" @default.
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- W2089274611 title "A simulation of dynamic task allocation in a distributed computer system" @default.
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- W2089274611 doi "https://doi.org/10.1145/318371.318696" @default.
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