Pareto approximations for the bicriteria scheduling problem

  • Authors:
  • Vittorio Bilò;Michele Flammini;Luca Moscardelli

  • Affiliations:
  • Dipartimento di Informatica, Università di L'Aquila, Via Vetoio loc. Coppito, I-67100 L'Aquila, Italy;Dipartimento di Informatica, Università di L'Aquila, Via Vetoio loc. Coppito, I-67100 L'Aquila, Italy;Dipartimento di Informatica, Università di L'Aquila, Via Vetoio loc. Coppito, I-67100 L'Aquila, Italy

  • Venue:
  • Journal of Parallel and Distributed Computing
  • Year:
  • 2006

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Abstract

In this paper, we consider the online bicriteria version of the classical Graham's scheduling problem in which two cost measures must be simultaneously minimized. We present a parametric family of online algorithms F"m={A"k|1=3 they give an r-approximation of the Pareto curve with r=54 for m=4, r=65 for m=5, r=1.186 for m=6 and so forth, with r always less than 1.295. Unfortunately, for m3, obtaining Pareto curves is not trivial, as they would yield optimal algorithms for the single criterion case in correspondence of the extremal tradeoffs. However, the situation seems more promising for the intermediate cases. In fact, we prove that for 5 processors the tradeoff 73,73 of A"3@?F"5 is optimal. Finally, we extend our results to the general d-dimensional case with corresponding applications to the Vector Scheduling problem.