Abstract
This paper reviews existing grid resource transaction models in grid computing environment and proposes an efficient market mechanism-based grid resource transaction model. This model predicts a future grid resource demand of grid users and suggests a reasonable transaction price of each resource to customers and resource providers. The suggestion of transaction price infers the more transactions between customers and providers and reduces a response time after ordering resource. In order to improve accuracy of transaction price prediction, microeconomics-based statistics approach is applied to this grid resource transaction model. For performance evaluation, this paper measures resource demand response time, and number of transactions. This model works on the less 72.39% of response time and the more 162.56% of the number of transactions than those of single auction model and double auction model.
This work is supported by INHA UNIVERSITY Research Grant.
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References
Foster, I., Kesselman, C., Tuecke, S.: The Anatomy of the Grid: Enabling Scalable Virtual Organizations. International Journal of High Performance Computing Application 15(3), 200–222 (2001)
Foster, I., Kesselman, C.: The Grid. Blueprint for a new computing infrastructure. Morgan Kaufmann, San Francisco (1999)
Berman, F., Fox, G., Hey, A.: Grid Computing, Making the Global Infrastructure a Reality. WILEY, Chichester (2002)
Buyya, R.: Grid Economy: A Market Paradigm for Distributed Resource Management and Scheduling for Service Oriented Grid Computing. PhD Thesis, Monash University, Australia (2002)
Joita, L., Rana, O.F., Gray, W.A., Miles, J.C.: A double auction economic model for grid services. In: Danelutto, M., Vanneschi, M., Laforenza, D. (eds.) Euro-Par 2004. LNCS, vol. 3149, pp. 409–416. Springer, Heidelberg (2004)
Chen, M., Yang, G.-W., Liu, X.: Gridmarket: A practical, efficient market balancing resource for grid and P2P computing. In: Li, M., Sun, X.-H., Deng, Q.-n., Ni, J. (eds.) GCC 2003. LNCS, vol. 3033, pp. 612–619. Springer, Heidelberg (2004)
Lindsay, C.: Applied Price Theory. Dryden Press, Chicago (1984)
McClave, J., Benson, P., Sincich, T.: Statistics for Business and Economics, 9th edn. Prentice Hall, Englewood Cliffs (2004)
Zhang, D., Zhao, K.: Economic model of TAC SCM game. In: Proceedings of, IEEE/WIC/ACM International Conference on Intelligent Agent Technology(IAT2004), pp. 273-280 (2004)
Besanko, D., Braeutigam, R.: Microeconomics: An Integrated Approach. WILEY, Chichester (2001)
Sadeh, N., Arunachalam, R., Eriksson, J., Finne, N., Janson, S.: TAC-2003: A supplychain trading competition. AI Magazine 24 (2003)
Zeigler, B., Kim, T., Praehofer, H.: Theory of Modeling and Simulation, 2nd edn. Academic Press, New York (1998)
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Kim, I.K., Lee, J.S. (2006). Resource Demand Prediction-Based Grid Resource Transaction Network Model in Grid Computing Environment. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751649_1
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DOI: https://doi.org/10.1007/11751649_1
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