Balanced Job Scheduling Based on Ant Algorithm for Grid Network

  • Authors:
  • Nikolaos Preve

  • Affiliations:
  • National Technical University of Athens, Greece

  • Venue:
  • International Journal of Grid and High Performance Computing
  • Year:
  • 2010

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Abstract

Job scheduling in grid computing is a very important problem. To utilize grids efficiently, we need a good job scheduling algorithm to assign jobs to resources in grids. The main scope of this article is to propose a new Ant Colony Optimization ACO algorithm for balanced job scheduling in the Grid environment. To achieve the above goal, we will indicate a way to balance the entire system load while minimizing the makespan of a given set of jobs. Based on the experimental results, the proposed algorithm confidently demonstrates its practicability and competitiveness compared with other job scheduling algorithms.