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Received: 2005-10-11

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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.10 P.1634-1641


Application-adaptive resource scheduling in a computational grid

Author(s):  LUAN Cui-ju, SONG Guang-hua, ZHENG Yao

Affiliation(s):  School of Computer Science and Center for Engineering and Scientific Computation, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   cuijuluan@zju.edu.cn

Key Words:  Grid, Resource scheduling, Heuristic knowledge, Greedy scheduling algorithm

LUAN Cui-ju, SONG Guang-hua, ZHENG Yao. Application-adaptive resource scheduling in a computational grid[J]. Journal of Zhejiang University Science A, 2006, 7(10): 1634-1641.

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A1 - LUAN Cui-ju
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DOI - 10.1631/jzus.2006.A1634

Selecting appropriate resources for running a job efficiently is one of the common objectives in a computational grid. resource scheduling should consider the specific characteristics of the application, and decide the metrics to be used accordingly. This paper presents a distributed resource scheduling framework mainly consisting of a job scheduler and a local scheduler. In order to meet the requirements of different applications, we adopt HGSA, a Heuristic-based greedy scheduling algorithm, to schedule jobs in the grid, where the heuristic knowledge is the metric weights of the computing resources and the metric workload impact factors. The metric weight is used to control the effect of the metric on the application. For different applications, only metric weights and the metric workload impact factors need to be changed, while the scheduling algorithm remains the same. Experimental results are presented to demonstrate the adaptability of the HGSA.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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