Performance investigation of weighted meta-scheduling algorithm for scientific grid

Authors:
Jie Song;Chee-Kian Koh;Simon See;Gay Kheng Leng
Affiliations:
Asia Pacific Science and Technology Center, Sun Microsystems Inc., Singapore;Asia Pacific Science and Technology Center, Sun Microsystems Inc., Singapore;Asia Pacific Science and Technology Center, Sun Microsystems Inc., Singapore;Information Communication Institute of Singapore, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore
Venue:
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
Year:
2005

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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.