Online scheduling of parallel jobs on hypercubes: maximizing the throughput

  • Authors:
  • Ondřej Zajíček;Jiří Sgall;Tomáš Ebenlendr

  • Affiliations:
  • Institute of Mathematics, AS CR, Praha 1, Czech Republic;Dept. of Applied Mathematics, Faculty of Mathematics and Physics, Charles University, Praha 1, Czech Republic;Institute of Mathematics, AS CR, Praha 1, Czech Republic

  • Venue:
  • PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part II
  • Year:
  • 2009

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Abstract

We study the online problem of scheduling unit-time parallel jobs on hypercubes. A parallel job has to be scheduled between its release time and deadline on a subcube of processors. The objective is to maximize the number of early jobs. We provide a 1.6-competitive algorithm for the problem and prove that no deterministic algorithm is better than 1.4-competitive.