Abstract
Scientific computing requires not only more computational resource, but also large amount of data storage. Therefore the scientific grid integrates the computational grid and data grid to provide sufficient resources for scientific applications. However, most of meta-scheduler only considers the system utilization, e.g. CPU load to optimize the resource allocation. This paper proposed a weighted meta-scheduling algorithm which takes into account of both system load and data grid workload. The experiments show the performance improvement for applications and achieve better load balance by efficient resource scheduling.
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Song, J., Koh, CK., See, S., Leng, G.K. (2005). Performance Investigation of Weighted Meta-scheduling Algorithm for Scientific Grid. In: Zhuge, H., Fox, G.C. (eds) Grid and Cooperative Computing - GCC 2005. GCC 2005. Lecture Notes in Computer Science, vol 3795. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590354_124
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DOI: https://doi.org/10.1007/11590354_124
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30510-1
Online ISBN: 978-3-540-32277-1
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