Data aggregation for scheduling of resource-intensive computations under uncertainty

  • Authors:

  • Yu. E. Malashenko;I. A. Nazarova

  • Affiliations:

  • Dorodnicyn Computing Center, Russian Academy of Sciences, Moscow, Russia 119991;Dorodnicyn Computing Center, Russian Academy of Sciences, Moscow, Russia 119991

  • Venue:
  • Journal of Computer and Systems Sciences International
  • Year:
  • 2014

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Abstract

A control process for resource-intensive computations in heterogeneous specialized environment is considered. For each task, a concept of computational job required to execute it is introduced. Two interconnected problems--of capability and performance--are studied. A parametric approach to scheduling is proposed that allows for balanced resource allocation while meeting user requirements under uncertainty.