Macro Adjustment Based Task Scheduling in Hierarchical Grid Market

Authors:
Peijie Huang;Hong Peng;Xuezhen Li
Affiliations:
College of Computer Science and Engineering, South China University of Technology, Guangzhou 510640, P.R. China;College of Computer Science and Engineering, South China University of Technology, Guangzhou 510640, P.R. China;Department of Computer and Information Engineering, Guangdong Technical College of, Water Resources and Electric Engineering, Guangzhou 510635, P.R. China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Year:
2007

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Abstract

Hierarchical organization is suitable for computational Grid. Although a number of Grid systems adopt this organization, few of them have dealt with the task scheduling for the hierarchical architecture. In this paper, we introduce a hierarchical Grid market model, which maintains the autonomy of the Grid end users, but incorporates macro adjustment of Grid information center into hierarchical Grid task scheduling. Simulation experiments show that the proposed method can improve the inquiry efficiency for resource consumers and get better load balancing of the whole hierarchical Grid market.