An Enhanced Response Time Mechanism in Grid Systems
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For applications that are grid enabled, the grid can offer a resource balancing effect by scheduling grid jobs on machines with low utilization. When jobs communicate with each other, the internet, or with storage resources, an advanced scheduler could schedule them to minimize communications traffic or minimize the distance of the communications. We propose an intelligent load distribution algorithm to minimize communications traffic and distance of the communications using genetic algorithm. The experiments show the proposed load redistribution algorithm performs efficiently in the variance of load in grid environments.
Abstract
For applications that are grid enabled, the grid can offer a resource balancing effect by scheduling grid jobs on machines with low utilization. When jobs communicate with each other, the internet, or with storage resources, an advanced scheduler could schedule them to minimize communications traffic or minimize the distance of the communications. We propose an intelligent load distribution algorithm to minimize communications traffic and distance of the communications using genetic algorithm. The experiments show the proposed load redistribution algorithm performs efficiently in the variance of load in grid environments.
참고문헌 (13)
- B. Jacob, "Introduction to grid computing", redbooks
- "Introduction to Grid Computing"[URL]
- Y, Li, "A Survey of Load Balancing in Grid Computing", LNCS, 3314, pp.280~285 (2004)
- J. Joseph, "Grid Computing", IBM Press
- J.Grefenstette, "Optimization of Control Parameters for Genetic Algorithms", IEEE Trans on SMC, SMC-16(1), pp.122~128 (1986)
- D.L.Eager, "Adaptive Load Sharing in Homogeneous Distributed Systems", IEEE Trans on Software Engineering, 12(5), pp.662~675 (1986)
- N. G.Shivaratri, "Load Distributing for Locally Distributed Systems", IEEE COMPUTER, 25(12), pp.33~44 (1992)
- T. Kunz, "The Influence of Different Workload Descriptions on a Heuristic Load Balancing Scheme", IEEE Trans on Software Engineering, 17(7), pp.725~730 (1991)
- Thomas G. R, "Ten Reasons to Use Divisible Load Theory", IEEE Computer, 36(5), pp.63~68 (2003)