Abstract
Grid computing generally allows heterogeneous resources to achieve resources sharing and service-oriented scheduling. Grid economy-based management has been viewed as a feasible approach to carrying out fair, efficient and reliable scheduling. One key issue in grid economy-based strategy is to contain accurate and predictable prices of heterogeneous resources. In this paper, we present a novel price prediction scheme of grid resources for achieving accurate prices for resource management in the context of grid economy. Our proposed scheme utilizes Time Series Analysis (TSA) tool to predict and generate resources prices. We examine the practical performance by presenting simulation-based results, which demonstrate that proposed scheme is feasible and efficient in the grid economy.
This work was supported by National Basic Research 973 Program under Grant No. 2004CB318201, New Century Excellent Talents Program of Ministry of Education under Grant.NCET-04-0693 and Scientific Program of Wuhan City under Grant.20061002031 and 200750730307.
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References
Buyya, R., Abramson, D., Venugopal, S.: The Grid Economy (Special Issue on Grid Computing). Proceedings of the IEEE 93(3), 698–714 (2005)
Michael, Z.S., Warren, B.P.: The Dynamic Assignment Problem. Transportation Science 38(4), 399–419 (2004)
Markowitz, H.M.: Portfolio Selection Efficient Diversification of Investment. Wiley, New York (1959)
Chris, K., Giorgos, C.: Architecture Requirements for Commercializing Grid Resources. In: Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing, pp. 215–224 (2002)
Buyya, R., Abramson, D., Giddy, J.: A case for economy grid architecture for service-oriented grid computing. In: The 10th IEEE International Heterogeneous Computing Workshop, IEEE Computer Society Press, Los Alamitos (2001)
Wellman, M.P., Walsh, W.E., Wurman, P.R., MacKie-Mason, J.K.: Auction Protocols for Decentralized Scheduling. Games and Economic Behavior 35, 271–303 (2001)
Simaan, Y.: Estimation risk in portfolio selection The mean variance model versus the mean absolute deviation model. Management Science 43(10), 1437–1446 (1997)
Kenyon, C., Cheliotis, G.: Grid Resource Commercialization Economic Engineering and Delivery Scenarios. In: Grid resource management: state of the art and future trends table of contents, pp. 465–478. Kluwer Academic Publishers, Norwell, MA, USA (2004)
Durbin, J.J.: Time Series Analysis by State Space Methods. Oxford University Press, Oxford (2001)
Shumway, R.H., Stoffer, D.S.: Time Series Analysis and Its Applications. Springer, Heidelberg (2000)
Box, G.E.P., Jenkins, G.: Time Series Analysis, Forecasting and Control. Holden-Day, Incorporated (1990)
Yu, H., Dan, F., Chanle, W.: Scalable Resources Portfolio Selection with Fairness based on Economical Methods. In: Ma, J., Jin, H., Yang, L.T., Tsai, J.J.-P. (eds.) UIC 2006. LNCS, vol. 4159, pp. 1019–1027. Springer, Heidelberg (2006)
Yu, H., Chanle, W.: Dynamic Multi-Stage Resource Selection with Preference Factors in Grid Economy. In: Zhuge, H., Fox, G.C. (eds.) GCC 2005. LNCS, vol. 3795, pp. 668–677. Springer, Heidelberg (2005)
Kantz, H., Schreiber, T.: Nonlinear Time Series Analysis. Cambridge University Press, Cambridge (2004)
Brillinger, D.R.: Time series data analysis and theory. Society for Industrial and Applied Mathematics Philadelphia, PA, USA (2001)
Reinsel, G.C.: Elements of Multivariate Time Series Analysis. Springer, Heidelberg (2003)
Hanssens, D.M., Parsons, L.J.: Market Response Models Econometric and Time Series Analysis. Springer, Heidelberg (2001)
Yu, J., Venugopal, S., Buyya, R.: A Market-Oriented Grid Directory Service for Publication and Discovery of Grid Service Providers and their Services. The Journal of Supercomputing 36(1), 17–31 (2006)
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Hua, Y., Feng, D. (2007). A Novel Price Prediction Scheme of Grid Resources Based on Time Series Analysis. In: Indulska, J., Ma, J., Yang, L.T., Ungerer, T., Cao, J. (eds) Ubiquitous Intelligence and Computing. UIC 2007. Lecture Notes in Computer Science, vol 4611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73549-6_26
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DOI: https://doi.org/10.1007/978-3-540-73549-6_26
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