ADJSA: an adaptable dynamic job scheduling approach based on historical information

Authors:
Lan Xu;Qiao-ming Zhu;Zhengxian Gong;Pei-feng Li
Affiliations:
Soochow University, Suzhou, China and Key Lab of Computer Information Processing Technology of Jiangsu Province, Suzhou, China;Soochow University, Suzhou, China and Key Lab of Computer Information Processing Technology of Jiangsu Province, Suzhou, China;Soochow University, Suzhou, China and Key Lab of Computer Information Processing Technology of Jiangsu Province, Suzhou, China;Soochow University, Suzhou, China and Key Lab of Computer Information Processing Technology of Jiangsu Province, Suzhou, China
Venue:
Proceedings of the 2nd international conference on Scalable information systems
Year:
2007

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Dynamic Resource Selection For Service Composition in The Grid

WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence

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Abstract

Currently, there are many researches focusing on grid scheduling and more and more scheduling algorithms were proposed. However, those algorithms are not satisfied with the requirement of the grid for ignoring its characteristics of dynamics, autonomy, distributing, etc. Therefore, this paper proposes an adaptable dynamic job scheduling approach based on historical information (ADJSA). This approach adjusts the predicting model automatically by using the recent jobs execution historical information and then selects the appropriate resource to execute the job considering dynamic and real-time factors of the Grid.