A Novel Approach for Grid Service Reliability Modeling Optimal Task Scheduling Perceiving Fault Recovery
Nana Kacharu Zalte1, Roshan M. Pandav2
1Mr. Nana Kacharu Zalte, Computer Engineering Department, Government College of Engineering , Aurangabad, India.
2Mr. Roshan M. Pandav, Computer Engineering Department, University of pune, India.
Manuscript received on June 03, 2013. | Revised Manuscript received on June 27, 2013. | Manuscript published on July 05, 2013. | PP: 182-186 | Volume-3 Issue-3, July 2013. | Retrieval Number: C1690073313/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Since last few years, grid technology has come into sight as a significant tool for solving and computing high intensive problems from different area. Grid reliability analysis and modeling are not easy tasks because of the complexity and large scale of the system. While concerning on large scale system, large subtasks requires time-consuming computation, consequently the reliability of grid service could be rather low. Our paper tries to focus on this reliability and task scheduling in the grid. In the existing system all researchers focused on the remote node fault recovery where greater waste is consumed on time and resource. Furthermore those systems did not incorporate the fault recovery and the practical constraints of grid resource on optimization. Resultantly our paper considers the Local Node Fault Recovery mechanism into grid systems, and presents a solution to simultaneously maximize the grid service reliability modeling and analysis with this kind of fault recovery thereby minimizing the cost. Our proposed Grid Service Reliability & Node Recovery (GSRNR) mechanism considers some practical, some constraints such as the life times of subtasks, the numbers of recoveries performed in grid nodes, and thus grid service reliability models under these practical constrictions are developed. Presuming the proposed grid service reliability model, a multi-objective task scheduling optimization model is presented, and Min Max scheduling algorithm is developed to solve it effectively.
Keywords: Grid Computing, Fault Tolerance, Grid Service Reliability, Local Node Fault Recovery.