Characterizing autonomic task distribution and handling in grids

  • Authors:
  • Xiaolong Jin;Jiming Liu

  • Affiliations:
  • Department of Computer Science, Hong Kong Baptist University, 224 Waterloo Road, Kowloon Tong, Hong Kong;Department of Computer Science, Hong Kong Baptist University, 224 Waterloo Road, Kowloon Tong, Hong Kong

  • Venue:
  • Engineering Applications of Artificial Intelligence
  • Year:
  • 2004

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Abstract

Autonomic computing and grid computing are two innovative information technologies. This paper explores autonomic computing in grids. A grid usually connects a huge number of computers over the Internet as a complex computational system, therefore there also exists a need to implement autonomic computing. Generally speaking, in grids, numerous tasks are distributed to grid nodes in a decentralized fashion. In this case, one of the important problems is how to implement autonomic task distribution and handling. To address this problem, this paper presents an agent-based autonomic task distribution and handling paradigm for grids. It then provides models for characterizing two typical scenarios based on this paradigm, i.e., task distribution scenario in a short time interval and task handling scenario in a long time interval. Through modeling as well as case studies, some key features in the dynamics of the autonomic task distribution and handling in grids are characterized. The paper also investigates the effects of some important parameters on the autonomic task distribution and handling.