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Asia-Pacific Conference on Services Computing. 2006 IEEE (2006)
Guangzhou, Guangdong, China
Dec. 12, 2006 to Dec. 15, 2006
ISBN: 0-7695-2751-5
pp: 447-450
Tao Wang , Northwestern Polytechnical University, China
Xing-she Zhou , Northwestern Polytechnical University, China
Qiu-rang Liu , Northwestern Polytechnical University, China
Zhi-yi Yang , Northwestern Polytechnical University, China
Yun-lan Wang , Northwestern Polytechnical University, China
The emerging computational grid infrastructure consists of heterogeneous resource in widely distributed autonomous domains, which makes resource scheduling even more challenging. In this paper, we propose an adaptive resource scheduling algorithm for computational grid called BLBD (based on load balancing and demand). According to the computational grid job's personal resource requirements, the system load of computational grid nodes and the load balancing of computational grid system, the algorithm choose an appropriate node self adaptively for computational grid job from the candidates. It has been successfully tested in NPU campus computational grid environment. The experimental result shows that the new task scheduling algorithm can lead to significant performance gain for a variety of applications
grid computing, resource allocation, scheduling

T. Wang, X. Zhou, Q. Liu, Z. Yang and Y. Wang, "An Adaptive Resource Scheduling Algorithm for Computational Grid," 2006 IEEE Asia-Pacific Conference on Services Computing(APSCC), Guangzhou, Guangdong, 2007, pp. 447-450.
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