References


[1]	Tsakalozos, K., Kllapi, H., Sitaridi, E., Roussopoulos, M., Paparas, D., Delis, A. (2011): Flexible use of cloud resources through profit maximization and price discrimination.  Proceedings of the 2011 IEEE 27th International Conference on Data Engineering, pp. 75-86. IEEE Computer Society.

[2]	Altmann, J., Hovestadt, M., Kao, O. (2011): Business support service platform for providers in open cloud computing markets. In: Networked Computing (INC), 2011 The 7th International Conference on, pp. 149-154.

[3]	McGill, J.I., van Ryzin, G.J. (1999): Revenue management: research overview and prospects. Transportation Science 33, 233-256.

[4]	Hayes, B. (2008): Cloud computing. Communications of the ACM 51, 9-11.

[5]	Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., Zaharia, M. (2009): Above the Clouds: A Berkeley view of Cloud computing. University of California at Berkeley.

[6]	Mell, P., Grance, T. (2009): The NIST definition of cloud computing. National Institute of Standards and Technology 53, 50.

[7]	Team, M.S.R. (2011): Cloud computing takes off. BLUE PAPER. 

[8]	Han, L. (2009): Market acceptance of Cloud computing - An analysis of market structure, price models and service requirements. Information Systems Management 42.

[9]	Smith, B.C., Leimkuhler, J.F., Darrow, R.M. (1992): Yield management at American Airlines. Interface 22, 8-31.

[10]	Iallat, F., Ancarani, F. (2008): Yield management, dynamic pricing and CRM in telecommunication. Journal of Services Marketing.

[11]	Kimes, S.E. (1989): The basics of yield management. The Cornell H.R.A Quarterly.

[12]	Belobaba, P.P. (1987): Application of a probabilistic decision model to airline seat inventory control. Operations Research 37, 14.

[13]	Neamat Farouk El Gayar, M.S., Amir Atiya, Hisham El-Shishiny, Athanasius Alkes Youhanna Fayez Zakhary, Heba Abdel Aziz Mohammed Habib: An integrated framework for advanced hotel revenue management Hospitality Management 23, 14.

[14]	Relihan, W.J. III: The yield-management approach to hotel-room pricing.

[15]	Netessine, S. and R. Shumsky (2002): Introduction to the Theory and Practice of Yield Management. INFORMS Transactions on Education 3 (1).

[16]	Sulistio, A., Kim, K.H., Buyya, R. (2007): Using Revenue Management to Determine Pricing of Reservations. e-Science and Grid Computing, IEEE International Conference pp. 396 - 405 Bangalore.

[17]	Anandasivam, A., Neumann, D. (2009): Managing Revenue in Grids.  System Sciences, 2009. HICSS '09. 42nd Hawaii International Conference pp. 1 - 10, Big Island, HI.

[18]	Arlitt, M.F., Williamson, C.L. (1996): Web server workload characterization: The search for invariants. Performance Evaluation Review 24, 126-137.

[19]	Cherkasova, L., Gupta, M. (2004): Analysis of enterprise media server workloads: Access patterns, locality, content evolution, and rates of change. IEEE/ACM Transactions on Networking 12, 781-794.

[20]	Gmach, D., Rolia, J., Cherkasova, L., Kemper, A.: Workload analysis and demand prediction of enterprise data center applications. pp. 171-180.

[21]	Van, H.N., Tran, F.D., Menaud, J.M.: SLA-aware virtual resource management for cloud infrastructures. pp. 357-362.

[22]	Chiang, W.-C., Chen, J.C.H., Xu, X. (2007): An overview of research on revenue management: current issues and future research. Int. J. Revenue Management 1, 1.

[23]	Kashef, M., Altmann, J. (2012): A cost model for hybrid clouds. GECON 2011, Economics of Grids, Clouds, Systems, and Services 46-60.

[24]	Paleologo, G.A. (2004): Price-at-Risk: A methodology for pricing utility computing services Systems Journal 43.

[25]	Svrcek, T. (1991): Modeling airline group passenger demand for revenue optimization. Cambridge, Mass.: Massachusetts Institute of Technology, Flight Transportation Laboratory.

[26]	Monroe, K.B. (1990): Pricing: Making profitable decisions Second edition. McGraw-Hill Companies.