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An Intelligent Agent based Grid Scheduler with Enhanced Fault Tolerance

초록

영어

In large-scale grid platforms, providing fault-tolerance for users is always a challenging task because of the uncertainty of network resources. In this paper, we present an intelligent agent based meta-scheduler, which is aiming at improving the fault-tolerance of grid systems when running user’s application. The proposed meta-scheduler is designed as an extendable framework, which allows plugging in multiple scheduling policies for deal with different scenarios. The agent-based scheduling framework enables grid systems to deploy their local schedulers in a flexible manner. Extensive experiments are conducted to investigate the performance of the proposed meta-scheduler, and the results show that it is effective to provide enhanced dependability for grid users, especially when the system is across multi-organization.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Scheduling Framework Analysis and Design
  3.1 Motivations
  3.2 Framework of Grid Scheduling Architecture
 4. Implementation of Agent-based Meta-Scheduler
 5. Experiments and Performance Evaluation
  5.1. Experiment Settings
  5.2 Performance Analysis
 6. Conclusion
 References

저자정보

  • Zhang Tienan School of Computer & Communication, Hunan Institute of Engineering

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