DP-Fair: a unifying theory for optimal hard real-time multiprocessor scheduling

  • Authors:
  • Shelby Funk;Greg Levin;Caitlin Sadowski;Ian Pye;Scott Brandt

  • Affiliations:
  • University of Georgia, Athens, USA;University of California at Santa Cruz, Santa Cruz, USA;University of California at Santa Cruz, Santa Cruz, USA;University of California at Santa Cruz, Santa Cruz, USA;University of California at Santa Cruz, Santa Cruz, USA

  • Venue:
  • Real-Time Systems
  • Year:
  • 2011

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Abstract

We consider the problem of optimal real-time scheduling of periodic and sporadic tasks on identical multiprocessors. A number of recent papers have used the notions of fluid scheduling and deadline partitioning to guarantee optimality and improve performance. This article develops a unifying theory with the DP-Fair scheduling policy and examines how it overcomes problems faced by greedy scheduling algorithms. In addition, we present DP-Wrap, a simple DP-Fair scheduling algorithm which serves as a least common ancestor to other recent algorithms. The DP-Fair scheduling policy is extended to address the problem of scheduling sporadic task sets with arbitrary deadlines.