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- W2017505971 abstract "EKG is a multiprocessor scheduling algorithm which is optimal for the schedule of real-time periodic tasks with implicit deadlines. It adheres to the deadline partitioning fair (DP-Fair) approach. However, it was shown in recent studies that the systematic execution of some tasks inherent in such approaches, significantly reduce the usability of this algorithm. Hence, we propose a swapping algorithm with the aim of reducing the number of preemptions and migrations incurred by EKG. This algorithm should enhance the practicality of EKG while keeping its optimality." @default.
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- W2017505971 date "2011-09-01" @default.
- W2017505971 modified "2023-10-16" @default.
- W2017505971 title "Swapping to reduce preemptions and migrations in EKG" @default.
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- W2017505971 doi "https://doi.org/10.1145/2038617.2038625" @default.
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