Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30184
Grid-HPA: Predicting Resource Requirements of a Job in the Grid Computing Environment

Authors: M. Bohlouli, M. Analoui

Abstract:

For complete support of Quality of Service, it is better that environment itself predicts resource requirements of a job by using special methods in the Grid computing. The exact and correct prediction causes exact matching of required resources with available resources. After the execution of each job, the used resources will be saved in the active database named "History". At first some of the attributes will be exploit from the main job and according to a defined similarity algorithm the most similar executed job will be exploited from "History" using statistic terms such as linear regression or average, resource requirements will be predicted. The new idea in this research is based on active database and centralized history maintenance. Implementation and testing of the proposed architecture results in accuracy percentage of 96.68% to predict CPU usage of jobs and 91.29% of memory usage and 89.80% of the band width usage.

Keywords: Active Database, Grid Computing, ResourceRequirement Prediction, Scheduling,

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1062058

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1129

References:


[1] I. Foster, and C. Kesselman, The Grid: Blueprint for a New Computing Infrastructure. Morgan Kafmann Publisher Inc., 1999.
[2] C. Weng, X. Lu, "Heuristic scheduling for bag-of-tasks applications in combination with QoS in the Computational Grid", Elsevier, Vol. 21 Pages 271-280, 2005.
[3] A. Ali, A. Anjum, J. Bunn, R. Cavanaugh, F. Lingen, R. McClatchey, M. Mehmood, H. Newman, C. Steenberg, M. Thomas and I. Willers, "Predicting the Resource Requirements of a Job Submission", Computing in High Energy Physics (CHEP04) , Switzerland, 2004.
[4] S. Krishnaswamy , S. Wai Loke and A. Zaslavsky "Estimating Computation Times of Data-Intensive Applications" IEEE Distributed Systems Online Vol. 5, No. 4, pp. 127-136, April 2004.
[5] P. Keyani, N. Sample and G. Wiederhold, "Scheduling Under Uncertainty: Planning for the Ubiquitous Grid", proc. of 5th international conf. on coordination models and languages, pp. 300-316, 2002.
[6] K. Krauter, R. Buyya and M. Maheswaran, "A Taxonomy and survay of Grid Resource management Systems", Software- practice & experience, vol. 32, pp. 135-164, 2002.
[7] A. Luther, R. Buyya, R. Ranjam. and S. Venugopal, " Alchemi: A .Netbased Grid Computing Framework and its Integration into Global Grids", Technical Report, GRIDS-TR-2003-8, Grid Computing and Distributed Systems Laboratory, University of Melbourne, Australia, December 2003.
[8] M. Roehrig, W. Ziegler and P. Wieder, "Grid Scheduling Dictionary of Terms and Keywords", Vol. GFD-I11 of global Grid Forum Documents, Global Grid Forum, 2003.
[9] Y. Gao, H. Rong and J. Huang, "Adaptive grid Job scheduling with Genetic Algorithms", Future Generation Computer Systems, Vol. 21, pp. 151-161, Jan. 2005,
[10] R. Buyya, D. Abramson, and J. Giddy, "Nimrod-G: An Architecture for a Resource Management and Scheduling System in a Global Computational Grid," Proc. Fourth Int-l Conf. High-Performance Computing, Asia-Pacific Region, IEEE CS Press, Los Alamitos, Calif., 2000.
[11] R. Buyya, D. Abramson, and J. Giddy, "Economy-Driven Resource Management Architecture for Computational Power Grids," Proc. Int-l Conf. Parallel and Distributed Processing Techniques and Applications, CSREA Press, 2000.
[12] R. Buyya et al., "Economic Models for Management of Resources in Peer-to-Peer and Grid Computing," Proc. SPIE Int-l Conf. Commercial Applications for High-Performance Computing, SPIE, Bellingham, Wash., 2001.
[13] O. Elgerd, Electric Energy Systems Theory: An Introduction, 2nd ed., McGraw Hill, New York, 1982.
[14] I. Foster and C. Kesselman, "Globus: A Metacomputing Infrastructure Toolkit," Int-l J. Supercomputer Applications, vol. 11, no. 2, 1997, pp. 115-128.
[15] H. Casanova and J. Dongarra, "NetSolve: A Network Server for Solving Computational Science Problems," Int-l J. Supercomputer Applications and High Performance Computing, vol. 11, no. 3, Fall 1997.
[16] I. Foster et al., "A Security Architecture for Computational Grids," Proc. 5th ACM Conf. Computer and Communications Security, ACM Press, New York, 1998.
[17] R. Buyya, J. Giddy, and D. Abramson, "A Case for Economy Grid Architecture for Service-Oriented Grid Computing," 10th IEEE Int-l Heterogeneous Computing Workshop, IEEE CS Press, Los Alamitos, Calif., 2001.