Abstract
Resource allocation and management in the Grid environment is a complex undertaking as resources are distributed and heterogeneous in nature. Optimally assigning jobs to resources is one of the key issues in Grid environment. This work introduces a new Multi Dimensional Matchmaking Framework for resource allocation on computational grids. Making the environment intelligent and monitoring the dynamic behavior of resources gives accurate prediction of resource allocation. The dynamic dimensional based resource allocation enhances the overall performance of services.
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References
Imamagic, E., Radic, B., Dobrenic, D.: An Approach to Grid Scheduling By Using Condor-G Matchmaking Mechanism. Journal of Computing and Information Technology - CIT 14(4), 329–336 (2006), doi:10.2498/cit.2006.04.09.
Bai, X., Yu, H., Ji, Y., Marinescu, D.C.: Resource Matching and a Matchmaking Service for an Intelligent Grid. World Academy of Science, Engineering and Technology 1 (2005)
Liu, Y., He, H.: Grid Resource Discovery Approach Based on Matchmaking Engine Overlay. In: Third International Conference on Semantics, Knowledge and Grid
Vijay, C., Naik, L.K., Liu, C., Wagner, J.: On-line ResourceMatching for Heterogeneous Grid Environments. In: IEEE International Symposium on Cluster Computing and the Grid (2005)
Li, F., Qi, D.: Research on Grid Resource Allocation Algorithm Based on Fuzzy Clustering. In: Second International Conference on Future Generation Communication and Networking (2008)
Clematis, A., Corana, A., D’Agostino, D., Galizia, A., Quarati, A.: Job_resource matchmaking on Grid through two-level benchmarking. Future Generation Computer Systems (June 2010)
Shu, G., Rana, O.F., Avis, N.J., Chen, D.: Ontology-based semantic matchmaking approach. Advances in Engineering Software 38, 59–67 (2007)
Han_, W., Shi, X., Chen, R.: Process-context aware matchmaking or web service composition. Journal of Network and Computer Applications 31, 559–576 (2008)
Wanga, C.-M., Chenb, H.-M., Hsuc, C.C., Lee, J.: Dynamic resource selection heuristics for a non-reserved bidding-based Grid Environment. Future Generation Computer Systems 26, 183–197 (2010)
Grigori, D., Corrales, J.C., Bouzeghoub, M.: Behavioral matchmaking for service retrieval: Application to conversation protocols. Information Systems 33, 681–698 (2008)
Asaduzzaman, S., Maheswara, M.: Utilizing unreliable public resources for higher profit and better SLA Compliance in computing utilities. J. Parallel Distrib. Computing 66, 796–806 (2006)
de Assunção, M.D., Buyya, R.: Performance analysis of allocation policies for intergrid resource provisioning. Information and Software Technology 51, 42–55 (2009)
Yu, H., Bai, X., Marinescu, D.C.: Workflow management and resource Discovery for an intelligent grid. Parallel Computing 31, 797–811 (2005)
Foster, I., Kesselman, C.: The GRID 2: Blueprint For a New Computer Infrastructure. Elsevier, Amsterdam (2005)
Liu, S.: User-Centric Resource Allocation Hierarchy in Grid Computing. In: The Sixth International Conference on Grid and Cooperative Computing, GCC 2007 (2007)
Altunay, M., Brown, D., Byrd, G., Dean, R.A.: Evaluation of Mutual Trust during Matchmaking. In: Proceedings of the Fifth IEEE International Conference on Peer-to-Peer Computing, P2P 2005 (2005)
Li, H., Buyya, R.: Model-based simulation and performance evaluation of grid scheduling strategies. Future Generation Computer Systems 25, 460–465 (2009)
Comito, C., Gounaris, A., Sakellariou, R., Talia, D.: A service-oriented system for distributed data querying and integration on Grids. Future Generation Computer Systems, doi:10.1016/j.future.2008.11.009.
Kosar, T., Balman, M.: A new paradigm: Data-aware scheduling in grid computing. Future Generation Computer Systems 25, 406–413 (2009)
Korkhova, V.V., Moscicki, J.T., Krzhizhanovskaya, V.V.: Dynamic workload balancing of parallel applications with user-level scheduling on the Grid. Future Generation Computer Systems 25, 28–34 (2009)
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Jacob, J., Rajsingh, E.B., Jesudasan, I.B. (2011). Dynamic Multi Dimensional Matchmaking Model for Resource Allocation in Grid Environment. In: Nagamalai, D., Renault, E., Dhanuskodi, M. (eds) Trends in Computer Science, Engineering and Information Technology. CCSEIT 2011. Communications in Computer and Information Science, vol 204. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24043-0_19
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DOI: https://doi.org/10.1007/978-3-642-24043-0_19
Publisher Name: Springer, Berlin, Heidelberg
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