Meta-scheduler using agents for fault tolerance in computational grid
by Srimathi Chandrasekaran; J. Vaideeswaran
International Journal of Computational Vision and Robotics (IJCVR), Vol. 4, No. 4, 2014

Abstract: Applying fault detection and correction techniques in a context become a complicated issue in an environment like computational grid. Agent technology promises a more flexible approach, easier installation and management of the agent framework, and better ability to autonomously recover from failures. Understanding and handling failures becomes additional burden for application developers in a distributed environment. So tolerating the faults and maintaining the performance of the grid becomes a major challenge in the grid computing environment. The work was aimed at building a fault tolerant computational grid using agent-based scheduler. It was found that agent technology offers many advantages in terms of ease of deployment, usage and the ability to control the scheduling of grid applications at a higher level. The framework provided a generic mechanism for incorporating agents into grid applications. It was applied to the meta-scheduler with multi criteria approach. This work also does performance evaluation of the proposed approach with respect to make span time and average scheduling time of each job.

Online publication date: Fri, 31-Oct-2014

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