Title: Meta-scheduler using agents for fault tolerance in computational grid

Authors: Srimathi Chandrasekaran; J. Vaideeswaran

Addresses: School of Computing Science and Engineering, VIT University, Vellore, 632014, Tamil Nadu, India ' School of Computing Science and Engineering, VIT University, Vellore, 632014, Tamil Nadu, India

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.

Keywords: computational grid; scheduling; meta-scheduling; brokers; metadata; agents; agent-based systems; multi-agent systems; MAS; fault detection; fault correction; fault tolerance; grid computing.

DOI: 10.1504/IJCVR.2014.065568

International Journal of Computational Vision and Robotics, 2014 Vol.4 No.4, pp.294 - 329

Received: 09 Jul 2013
Accepted: 13 Jan 2014
Published online: 31 Oct 2014 *

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