Fine-Grained Task Reweighting on Multiprocessors

13 years 10 months ago

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We consider the problem of task reweighting in fair-scheduled multiprocessor systems wherein each task’s processor share is speciﬁed as a weight. When a task is reweighted, a new weight is computed for it that is then used in future scheduling. Task reweighting can be used as a means for consuming (or making available) spare processing capacity. The responsiveness of a reweighting scheme can be assessed by comparing its allocations to those of an ideal scheduler that can reweight tasks instantaneously. A reweighting scheme is ﬁne-grained if any additional per-task “error” (in comparison to an ideal allocation) caused by a reweighting event is constant. In prior work on uniprocessor notions of fairness, a number of ﬁne-grained reweighting schemes were proposed. However, in the multiprocessor case, prior work has failed to produce such a scheme. In this paper, we remedy this shortcoming by presenting a multiprocessor reweighting scheme that is ﬁne-grained. We also present ...

Aaron Block, James H. Anderson, Gary Bishop

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