Adaptive task scheduling in computational GRID environments

  • Authors:
  • Manuel Hidalgo-Conde;Andrés Rodríguez;Sergio Ramírez;Oswaldo Trelles

  • Affiliations:
  • Computer Architecture Department, University of Malaga, Malaga, Spain;Computer Architecture Department, University of Malaga, Malaga, Spain;Computer Architecture Department, University of Malaga, Malaga, Spain;Computer Architecture Department, University of Malaga, Malaga, Spain

  • Venue:
  • EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this work we present the design and development of an adaptive task scheduling model which enables the definition and exploitation of a framework especially suitable for managing environments of intensive computing load. The framework supplies queuing mechanisms, priority-based scheduling and resources allocation strategies, load monitoring, and implements fault tolerance procedures. Buffering strategies have been used to reduce idle time for load reposition and to take advantage of I/O overlapping, increasing efficiency in the use of resources. Several tests have been performed using applications from the bioinformatics domain for which adaptive strategies have shown their ability to produce a noticeable reduction on execution time.