Characterizing autonomie task distribution and handling in grids

Xiaolong Jin, Jiming LIU*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

5 Citations (Scopus)


Autonomic computing and grid computing are two innovative information technologies. This paper explores autonomie 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 autonomie 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 autonomie 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 autonomie task distribution and handling in grids are characterized. The paper also investigates the effects of some important parameters on the autonomie task distribution and handling.

Original languageEnglish
Pages (from-to)809-823
Number of pages15
JournalEngineering Applications of Artificial Intelligence
Issue number7
Publication statusPublished - Oct 2004

Scopus Subject Areas

  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

User-Defined Keywords

  • Autonomic computing
  • Convergence
  • Grid computing
  • Multi-agent systems
  • Software agents
  • Stability
  • Task distribution
  • Task handling
  • Time delay


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