Scheduling independent jobs for torus connected networks with/without link contention

S. K.S. Gupta, P. K. Sriani

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we investigate the problem of how to schedule n independent jobs on an m x m torus based network. We develop a model to quantify the effect of contention for communication links on the dilation of job execution time when multiple jobs share communication links; we then design an efficient algorithm to schedule a set of n independent jobs with different torus size requirements on a given torus with an objective to minimize the total schedule length. We also develop a feasibility algorithm for pre-emptively scheduling a given set of jobs on a torus of given size with a given deadline. We provide analysis for both the algorithms. (C) 2000 Elsevier Science Ltd.

Original languageEnglish (US)
Pages (from-to)131-145
Number of pages15
JournalMathematical and Computer Modelling
Volume31
Issue number2-3
DOIs
StatePublished - Jan 2000
Externally publishedYes

Keywords

  • Deadline
  • Independent jobs
  • Job scheduling
  • Link contention
  • Torus networks

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Science Applications

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