References Agarwal, D., & Jain, S. (2014). Efficient optimal algorithm of task scheduling in cloud computing environment. arXiv Preprint arXiv:1404.2076. Al-Roomi, M., Al-Ebrahim, S., Buqrais, S., & Ahmad, I. (2013). Cloud computing pricing models: a survey. Alam, B. (2013). Fuzzy round robin cpu scheduling algorithm. Journal of Computer Science, 9(8), 1079–1085. Altmann, J., Courcoubetis, C., & Risch, M. (2010). A marketplace and its market mechanism for trading commoditized computing resources. Annals of Telecommunications-Annales Des Télécommunications, 65(11–12), 653–667. 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). IEEE. Altmann, J., & Kashef, M. M. (2014). Cost model based service placement in federated hybrid clouds. Future Generation Computer Systems, 41, 79–90. Anandasivam, A., & Neumann, D. (2009). Managing Revenue in Grids. 2009 42nd Hawaii International Conference on System Sciences. Springer-Verlag GmbH. https://doi.org/10.1109/HICSS.2009.301 . Arlitt, M. F., & Williamson, C. L. (1996). Web server workload characterization: The search for invariants. In ACM SIGMETRICS Performance Evaluation Review (Vol. 24, pp. 126–137). ACM. Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., … Zaharia, M. (2010). A View of Cloud Computing. Commun. ACM, 53(4), 50–58. https://doi.org/10.1145/1721654.1721672 . Belobaba, P. P. (1987). Survey paper-airline yield management an overview of seat inventory control. Transportation Science, 21(2), 63–73. Breskovic, I., Altmann, J., & Brandic, I. (2013). Creating standardized products for electronic markets. Future Generation Computer Systems, 29(4), 1000–1011. Breskovic, I., Maurer, M., Emeakaroha, V. C., Brandic, I., & Altmann, J. (2011). Towards Autonomic Market Management in Cloud Computing Infrastructures. In CLOSER (pp. 24–34). Buyya, R., & Murshed, M. (2002). Gridsim: A toolkit for the modeling and simulation of distributed resource management and scheduling for grid computing. Concurrency and Computation: Practice and Experience, 14(13‐15), 1175–1220. Buyya, R., Yeo, C. S., & Venugopal, S. (2008). Market-oriented cloud computing: Vision, hype, and reality for delivering it services as computing utilities. In High Performance Computing and Communications, 2008. HPCC’08. 10th IEEE International Conference on (pp. 5–13). IEEE. Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009). Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems, 25(6), 599–616. https://doi.org/10.1016/j.future.2008.12.001 . Cherkasova, L., & Gupta, M. (2004). Analysis of enterprise media server workloads: access patterns, locality, content evolution, and rates of change. Networking, IEEE/ACM Transactions on, 12(5), 781–794. Dong, F., & Akl, S. G. (2006). Scheduling algorithms for grid computing: State of the art and open problems. Technical report. Foster, I., Zhao, Y., Raicu, I., & Lu, S. (2008). Cloud Computing and Grid Computing 360-Degree Compared. 2008 Grid Computing Environments Workshop, abs/0901.0(5), 1–10. Retrieved from http://arxiv.org/abs/0901.0131 . Gmach, D., Rolia, J., Cherkasova, L., & Kemper, A. (2007). Workload analysis and demand prediction of enterprise data center applications. In Workload Characterization, 2007. IISWC 2007. IEEE 10th International Symposium on (pp. 171–180). IEEE. Hamsanandhini, S., & Mohana, R. S. (2015). Maximizing the revenue with client classification in Cloud Computing market. In Computer Communication and Informatics (ICCCI), 2015 International Conference on (pp. 1–7). IEEE. Jallat, F., & Ancarani, F. (2008). Yield management, dynamic pricing and CRM in telecommunications. Journal of Services Marketing, 22(6), 465–478. Jeferry, K., Kousiouris, G., Kyriazis, D., Altmann, J., Ciuffoletti, A., Maglogiannis, I., … Zhao, Z. (2015). Challenges emerging from future cloud application scenarios. Procedia Computer Science, 68, 227–237. Kashef, M. M., Uzbekov, A., Altmann, J., & Hovestadt, M. (2013). Comparison of two yield management strategies for cloud service providers. In International Conference on Grid and Pervasive Computing (pp. 170–180). Springer. Khankasikam, K. (2013). An Adaptive Round Robin Scheduling Algorithm: A Dynamic Time Quantum Approach. International Journal of Advancements in Computing Technology, 5(1). Kimes, S. E. (1989). The Basics of Yield Management. Cornell Hotel and Restaurant Administration Quarterly, 30(3), 14–19. https://doi.org/10.1177/001088048903000309 . Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. Mishra, M. K., & Rashid, F. (2014). An Improved Round Robin CPU Scheduling Algorithm With Varying Time Quantum. International Journal of Computer Science, Engineering and Applications, 4(4), 1. Netessine, S., & Shumsky, R. (2002). Introduction to the theory and practice of yield management. INFORMS Transactions on Education, 3(1), 34–44. Osterwalder, A. (2004). The business model ontology: A proposition in a design science approach. Rimal, B. P., Choi, E., & Lumb, I. (2009). A taxonomy and survey of cloud computing systems. INC, IMS and IDC, 44–51. Risch, M., Altmann, J., Guo, L., Fleming, A., & Courcoubetis, C. (2009). The gridecon platform: A business scenario testbed for commercial cloud services. In International Workshop on Grid Economics and Business Models (pp. 46–59). Springer. Ru, J., & Keung, J. (2013). An Empirical investigation on the simulation of priority and shortest-job-first scheduling for cloud-based software systems. In Software Engineering Conference (ASWEC), 2013 22nd Australian (pp. 78–87). IEEE. Samimi, P., Teimouri, Y., & Mukhtar, M. (2014). A combinatorial double auction resource allocation model in cloud computing. Information Sciences. Sirohi, A., Pratap, A., & Aggarwal, M. (2014). Improvised Round Robin (CPU) Scheduling Algorithm. International Journal of Computer Applications, 99(18), 40–43. Srinivasan, S., Kettimuthu, R., Subramani, V., & Sadayappan, P. (2002). Characterization of backfilling strategies for parallel job scheduling. In Parallel Processing Workshops, 2002. Proceedings. International Conference on (pp. 514–519). IEEE. Teng, F., & Magoules, F. (2010). Resource pricing and equilibrium allocation policy in cloud computing. In Computer and information technology (CIT), 2010 IEEE 10th international conference on (pp. 195–202). IEEE. Wang, H., Tianfield, H., & Mair, Q. (2014). Auction based resource allocation in cloud computing. Multiagent and Grid Systems, 10(1), 51–66. Weinhardt, C., Anandasivam, A., Blau, B., Borissov, N., Meinl, T., Michalk, W., & Stößer, J. (2009). Cloud Computing -- A Classification, Business Models, and Research Directions. Business {&} Information Systems Engineering, 1(5), 391–399. https://doi.org/10.1007/s12599-009-0071-2 . Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: state-of-the-art and research challenges. Journal of Internet Services and Applications, 1(1), 7–18.