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24th IEEE International Real-Time Systems Symposium (RTSS'03)
Quick-release Fair Scheduling
Cancun, Mexico
December 03-December 05
ISBN: 0-7695-2044-8
James H. Anderson, University of North Carolina at Chapel Hill
Aaron Block, University of North Carolina at Chapel Hill
Anand Srinivasan, University of North Carolina at Chapel Hill
In prior work on multiprocessor fairness, ef?cient techniques with provable properties for reallocating spare processing capacity have been elusive. In this paper, we address this shortcoming by proposing a new notion of multiprocessor fairness, called quick-release fair (QRfair scheduling. Under QRfair scheduling, each task is speci?ed by giving both a minimum and a maximum weight (i.e., processor share. The goal is to schedule each task (as the spare capacity changes at a rate that is (i) at least that implied by its minimum weight and (ii) at most that implied by its maximum weight. We present a quick-release variant of the PD2 Pfair scheduling algorithm called PDQ and prove that the allocations of PDQ always satisfy (i and (ii . Also, we present results from simulation experiments that show the ef?cacy of PDQ.
Citation:
James H. Anderson, Aaron Block, Anand Srinivasan, "Quick-release Fair Scheduling," rtss, pp.130, 24th IEEE International Real-Time Systems Symposium (RTSS'03), 2003
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