Self-Organizing Communication-aware Resource Management for Scheduling in Grid Environment

  • Authors:
  • Qinghua Zheng;Haijun Yang;Yuzhong Sun

  • Affiliations:
  • Graduate School of the Chinese Academy of Sciences, China;Institute of Computing Technology, Chinese Academy of Sciences, China;Institute of Computing Technology, Chinese Academy of Sciences, China

  • Venue:
  • HPCASIA '05 Proceedings of the Eighth International Conference on High-Performance Computing in Asia-Pacific Region
  • Year:
  • 2005

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Abstract

Rapid advances in network and computer technologies are making networked computers, organized in the form of Grid, an appealing vehicle for cost-effective parallel computing. But how to handle efficiently the communications in scheduling is still a main obstacle to using these resources. In this paper, we tackle this problem by partitioning resources into groups in a parallel and distributed fashion. Resources with good communication performance to each other will be clustered into a same group. Based on our observation that communication latencies between adjacent resources are much less than those between non-adjacent ones with high possibility, flooding with a small TTL (Time-To-Live) can inherently exploit the proximity property between resources, which improves greatly the efficiency of our partitioning work. Our distributed resource management method can fit well for environments with large-scale resources such as Grid.