A novel algorithm for dynamic task scheduling

  • Authors:
  • Sasmita Kumari Nayak;Sasmita Kumari Padhy;Siba Prasada Panigrahi

  • Affiliations:
  • Centurion University of Technology & Management, Bhubaneswar, Orissa, India;SOA University, Bhubaneswar, Orissa, India;Gandhi Institute for Technological Advancement, Bhubaneswar, Orissa, India

  • Venue:
  • Future Generation Computer Systems
  • Year:
  • 2012

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Abstract

This paper deals with the problem of dynamic task scheduling in grid environment of multi-processors. First, this paper formulates task scheduling as an optimization problem and then optimizes with a novel hybrid optimization algorithm. The proposed algorithm combines the merits of Genetic Algorithm and Bacteria Foraging optimization. The simulation result proves the superior performance with the proposed algorithm.