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• W2964157077 abstract "Federated scheduling is a promising approach to schedule parallel real-time tasks on multi-cores, where each heavy task exclusively executes on a number of dedicated processors, while light tasks are treated as sequential sporadic tasks and share the remaining processors. However, federated scheduling suffers resource waste since a heavy task with processing capacity requirement $x + epsilon$ (where $x$ is an integer and $0 < epsilon < 1$) needs $x + 1$ dedicated processors. In the extreme case, almost half of the processing capacity is wasted. In this paper we propose the semi-federate scheduling approach, which only grants $x$ dedicated processors to a heavy task with processing capacity requirement $x + epsilon$, and schedules the remaining $epsilon$ part together with light tasks on shared processors. Experiments with randomly generated task sets show the semi-federated scheduling approach significantly outperforms not only federated scheduling, but also all existing approaches for scheduling parallel real-time tasks on multi-cores." @default.
• W2964157077 created "2019-07-30" @default.
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• W2964157077 date "2017-12-01" @default.
• W2964157077 modified "2023-09-29" @default.
• W2964157077 title "Semi-Federated Scheduling of Parallel Real-Time Tasks on Multiprocessors" @default.
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• W2964157077 doi "https://doi.org/10.1109/rtss.2017.00015" @default.
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