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Tasks Scheduling in Computational Grid using a Hybrid Discrete Particle Swarm Optimization

초록

영어

Computing Grid is a high performance computing environment that allows sharing of geographically distributed resources across multiple administrative domains and used to solve large scale computational demands. To achieve the promising potentials of computational grids, job scheduling is an important issue to be considered. This paper addresses scheduling problem of independent tasks on computational grids. A Hybrid Discrete Particle Swarm Optimization algorithm (HDPSO) and Min-min algorithm is presented to reduce overall execution time of task.

목차

Abstract
 1. Introduction
 2. Motivation
 3. Related Works
 4. Particle Swarm Optimization Algorithm
 5. Grid Job scheduling based on Hybrid DPSO
 6. Initial Swarm
 7. Fitness Evaluation
 8. Experimental Results
 9. Discussion
 10. Conclusions and Future work
 References

저자정보

  • Maryam Karimi Department of Computer Engineering, Tabari University
  • Homayoon Motameni Department of Computer Engineering, Islamic Azad University

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