A Resource Broker with Cross Grid Information Services on Computational Multi-grid Environments

  • Authors:
  • Chao-Tung Yang;Wen-Jen Hu;Kuan-Chou Lai

  • Affiliations:
  • Department of Computer Science, Tunghai University, Taichung, Taiwan (ROC) 40704;Department of Computer Science, Tunghai University, Taichung, Taiwan (ROC) 40704;Department of Computer Science and Information Engineering, National Taichung University Taichung, Taiwan (ROC)

  • Venue:
  • ICA3PP '09 Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing
  • Year:
  • 2009

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Abstract

Grid computing is now in widespread use, which integrates geographical computing resources across multiple virtual organizations to achieve high performance computing. In this paper, we present a new grid architecture, which integrates multiple computational grids, named Multi-Grid, from different virtual organizations. The proposed architecture could solve the large-scale computational problem. Due to gathering information across different grids has the imprecise problem, the accuracy of information probably affects the computational efficiency. Thus, this paper proposes a cross-grid information service approach to gather resource information. Furthermore, a gathering algorithm, which could balance the query frequency and the resource information accuracy, is present to reduce the load of information servers. Finally, we implement a resource broker with cross-grid information services on multi-grid computational environments.