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Scheduling Multi-task Agents

  • Rong Xie
  • Daniela Rus
  • Cliff Stein
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2240)

Abstract

We present a centralized and a distributed algorithm for scheduling multi-task agents in a distributed system with the objective of minimizing the overall application completion time. Each agent consists of multiple tasks that can be executed on multiple machines which correspond to resources. The machine speeds and link transfer rates are heterogeneous. Our centralized algorithm has an upper bound on the overall completion time and is used as a module in the distributed algorithm. Extensive simulations show promising results of the algorithms, especially for scheduling communication-intensive multi-task agents.

Keywords

Schedule Algorithm Mobile Agent Task Graph Average Speedup Schedule Length 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Rong Xie
    • 1
  • Daniela Rus
    • 1
  • Cliff Stein
    • 2
  1. 1.Department of Computer ScienceDartmouth CollegeDarthmouth
  2. 2.Department of IEORColumbia UniversityColumbia

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