A flexible job scheduling system for heterogeneous grids

Authors:
Lan Cheng;Hai Jin;Li Qi;Yongcai Tao
Affiliations:
Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China;Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China;Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China;Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
Venue:
APPT'07 Proceedings of the 7th international conference on Advanced parallel processing technologies
Year:
2007

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Abstract

Job management is the most complicated and kernel component of grid system. However, due to the dynamic, heterogeneous and dispersed nature of grid environment, grid job submission and scheduling are always intractable issues that needs to be addressed, especially across heterogeneous grids. In this paper, a Flexible Job Scheduling System (FISS) is designed, which exploits and extends JSDL to support the job submission with different QoS requirements across heterogeneous grid platforms. Based on the extended JSDL, multiple types of jobs are supported, including WS, WSRF, GRS. Moreover, it conduces to the interoperation among heterogeneous grid systems. Experiments are carried out and proven that FISS proposed in the paper can improve the efficiency and utilization of grid system while satisfying users' QoS requirements and achieving the interoperability among heterogeneous grids.