Load sequencing for a parallel processing utility

  • Authors:
  • Saravut Charcranoon;Thomas G. Robertazzi;Serge Luryi

  • Affiliations:
  • Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY;Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY;Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY

  • Venue:
  • Journal of Parallel and Distributed Computing
  • Year:
  • 2004

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Abstract

The monetary cost optimization of a computer utility load distribution problem is examined. The problem is to find the sequence in which to distribute divisible computing load from a root processor to its children processors which achieves the lowest monetary distribution cost. The convergence performance of a heuristic greedy algorithm is studied. This problem is directly relevant to computer utilities which offer computing and software hosting to organizations for a monetary charge.