Recovery Mutual Scheduling: A Decentralized Approach for Fault Recovery Mechanism in the Grid Computing

Abstract:

Grid computing is that the major analysis space wherever the distributed resources square measure used. In programming, the largest challenge is to amass optimum answer for the submitted jobs within the grid. For giant subtask need time intense computation, this paper introduces a replacement fault recovery mechanism into grid systems associated an thorough study on grid service. We have a tendency to propose a replacement algorithmic program on considering these factors. In our planned algorithmic program Recovery Mutual programming, a catalog is employed which is able to be responsive in accumulation of saving its state sporadically. Consequently the turnout of a system is exaggerated with the localized approach.

• Periodical: Applied Mechanics and Materials (Volume 573)
• Pages: 571-575
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.573.571
• Online since: June 2014
• Authors: M.H. Anandbabu*, B. Palanichelvam, R. Suganya
• Keywords: Catalog, Decentralized Approach, Process Dispatcher, Process Repository, Scheduling, Status Collector

References

[1] Ian T. Foster, Carl Kesselman and Steven Tuecke, The anatomy of the grid enabling scalableVirtualOrganisations, CoRR, cs. AR/0103025, (2001).

[2] M. Baker,R. Buyya and D. Laforenza, Grids andGrid Technologies for wide area Distributed Computing, in Journal of software-Practice& Experience , vol. 32, no. 15, p.14371466, (2002).

DOI: 10.1002/spe.488

[3] I. Foster, The Grid: A new infrastructure for 21st century science, Physics Today, vol. 55, no. 2, p.42–47, (2002).

DOI: 10.1063/1.1461327

[4] Algirdas Avizienis, Jean-Claude Laprie, Brian Randell and Carl Landwehr, Basic Concepts and Taxonomy of Dependable and Secure Computing, IEEE Trans, Dependable and Secure Computing, vol. 1, no. 1, Jan-Mar (2004).

DOI: 10.1109/tdsc.2004.2

[5] M. Strasser and K. Rothermel. System Mechanism for Partial Rollback of Mobile Agent Execution", Proc. 20th Int, l Conf. on Distributed Computing Syst., pp.20-28, (2000).

DOI: 10.1109/icdcs.2000.840903

[6] S. Pleisch and A. Schiper. FATOMAS - A Fault-Tolerant Mobile Agent System Based on teh Agent-Dependent Approach", Proc. Int, l Conf. on Dependable Syst. and Networks, pp.215-224, (2001).

DOI: 10.1109/dsn.2001.941407

[7] S. Pleisch and A. Schiper. Modeling fault-tolerant mobile agent execution as a sequence of agreement problems", Proc. of 19th IEEE Symposium on Reliable Distributed Systems (SRDS, 00), Nuremberg, Germany, pp.11-20, (2000).

DOI: 10.1109/reldi.2000.885388

[8] E. Gendelman, L.F. Bic, and M.B. Dillencourt. An Application- Transparent, Platform-Independent Approach to Rollback-recovery for Mobile Agent Systems", Proc. 20th Int, l Conf. on Distributed Computing Syst., (2000).

DOI: 10.1109/icdcs.2000.840971

[9] Y. Ling, J. Mi, and X. Lin. A variational calculus approach to optimal checkpoint placement, IEEE Transactions on Computers, Vol. 59, No. 7, pp.699-708, (2001).

DOI: 10.1109/12.936236

[10] Stanley Araujo de Sousa, Francisco Jos´e da Silva e Silva, A Flexible Fault-Tolerance Mechanism for the Integrade Grid Middleware.

DOI: 10.1109/icns.2007.7

[11] Javier carretero, fatos xhafa, ajithabraham, "Genetic Algorithm Based Schudulers for Grid Computing System.

[12] Soon Hwang and Carl Kesselman A Flexible Framework for Fault Tolerance in the Grid, Journal of Grid Computing 1: 251–272, (2003).

DOI: 10.1023/b:grid.0000035187.54694.75

[13] Pankaj Jalote, Fault Tolerance in DistributedSystems, ISBN: 0-13-301367-7, (1994).