Scheduling parallel real-time tasks using a fixed-priority work-stealing algorithm on multiprocessors

This paper proposes a model for scheduling parallel real-time tasks. The proposed model uses a work-stealing approach to schedule real-time parallel task sets at runtime, where each job may present a nested fork-join structure, generate an arbitrary number of parallel jobs, and each parallel job inherits the timing properties of the job that spawns it.

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