On the Dynamic Allocation of Mobile Agents by On-Line Task Scheduling

  • Authors:
  • Xinfeng Yang;Weimin Ma;Jane You;James Liu

  • Affiliations:
  • -;-;-;-

  • Venue:
  • IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
  • Year:
  • 2002

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Abstract

This paper presents a new approach to the dynamic allocation of mobile agents by on-line task scheduling for high performance in Internet computing. In contrast to the existing approaches, which apply predefined task scheduling schemes to allocate computing resources, we introduce a new on-line competitive algorithm to achieve flexibility. A guided allocation scheme based on the system competitive ratio is developed to optimize the allocation of mobile agents. The proposed system combines push-based technology with an innovative on-line task-scheduling scheme to speed up system response time and minimize system overheads. The system analysis and simulation demonstrate the feasibility and effectiveness of our approach to mobile agent-based Internet computing.