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- W1848383120 abstract "AbstractHard real-time tasks are associated with strict deadlines. Classical scheduling heuristics ensure fairness among tasks and prevent deadlock, but are not concerned with deadline compliance. Hence, there is a need for scheduling heuristics which prioritize tasks in a real-time system in a manner which guarantees timely completion of maximum number of tasks. In this paper, several static heuristics for mapping hard real-time tasks to machines in a heterogeneous distributed system have been described. These heuristics differ in their method of prioritizing tasks for scheduling, which results in varied performance. The heuristics have been outlined and simulated using a common set of assumptions. The performance parameter considered in this study is the number of user satisfied tasks.KeywordsCompletion TimeSchedule HeuristicHeterogeneous ComputingUser TaskMinimum Completion TimeThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W1848383120 date "2004-01-01" @default.
- W1848383120 modified "2023-10-18" @default.
- W1848383120 title "Static Mapping Heuristics for Tasks with Hard Deadlines in Real-Time Heterogeneous Systems" @default.
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- W1848383120 doi "https://doi.org/10.1007/978-3-540-30182-0_83" @default.
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