Abstract
There are various machines in grid system which was performed programs for multiple applications. In grid systems, some machines have a low utilization. But other machines have high utilization. For applications that are grid enabled, the grid can offer a resource balancing effect by scheduling grid jobs on machines with low utilization. A scheduling policy is used to manage many resources efficiently. When jobs communicate with each other, the internet, with storage resources, an advanced scheduler could schedule them to minimize communication traffic or minimize the distance of the communications for turnaround time improvement. Therefore, we propose a workload redistribution algorithm to improve the performance of grid scheduler using genetic information.
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© 2012 Springer-Verlag Berlin Heidelberg
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Chun, BT., Lee, SH. (2012). An Efficient Workload Redistribution Algorithm in Grid Computing Systems Using Genetic Information. In: Lee, G., Howard, D., Ślęzak, D., Hong, Y.S. (eds) Convergence and Hybrid Information Technology. ICHIT 2012. Communications in Computer and Information Science, vol 310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32692-9_22
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DOI: https://doi.org/10.1007/978-3-642-32692-9_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32691-2
Online ISBN: 978-3-642-32692-9
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