Evolutionary Fuzzy Scheduler for Grid Computing

  • Authors:

  • R. P. Prado;S. García Galán;A. J. Yuste;J. E. Expósito;A. J. Santiago;S. Bruque

  • Affiliations:

  • Telecommunication Engineering Department., University of Jaén, Jaén., Spain;Telecommunication Engineering Department., University of Jaén, Jaén., Spain;Telecommunication Engineering Department., University of Jaén, Jaén., Spain;Telecommunication Engineering Department., University of Jaén, Jaén., Spain;Telecommunication Engineering Department., University of Jaén, Jaén., Spain;Telecommunication Engineering Department., University of Jaén, Jaén., Spain

  • Venue:
  • IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
  • Year:
  • 2009

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Abstract

In the last few years, the Grid community has been growing very rapidly and many new components have been proposed. In this sense, the scheduler represents a very relevant element that influences decisively on the grid system performance. The scheduling task of a set of heterogeneous, dynamically changing resources is a complex problem. Several scheduling systems have already been implemented; however, they still provide only "ad hoc" solutions to manage scheduling resources in a grid system. This paper presents a fuzzy scheduler obtained by means of evolving a previous fuzzy scheduler using Pittsburgh approach. This new evolutionary fuzzy scheduler improves the performance of the classical scheduling system.