Fine-Grained Task Reweighting on Multiprocessors

  • Authors:
  • Aaron Block;James H. Anderson;Gary Bishop

  • Affiliations:
  • University of North Carolina at Chapel Hill;University of North Carolina at Chapel Hill;University of North Carolina at Chapel Hill

  • Venue:
  • RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
  • Year:
  • 2005

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Abstract

We consider the problem of task reweighting in fair-scheduled multiprocessor systems wherein each task驴s processor share is specified as a weight. Task reweighting can be used as a means for consuming (or making available) spare processing capacity. In this paper, we propose a multiprocessor reweighting scheme that can change a task驴s processor share with "minimal" error per share change.