Abstract
Educational institutions have become highly dependent on information technology to support the delivery of personalised material, digital content, interactive classes, and others. These institutions are progressively transitioning into Cloud Computing technology to shift costs from locally-hosted services to a “renting model” often with higher availability, elasticity, and resilience. However, in order to properly explore the cost benefits of the pay-as-you-go business model, there is a need for processes for resource allocation, monitoring, and self-adjustment that take advantage of characteristics of the application domain. In this paper we perform a numerical analysis of three resource allocation methods that work by (i) pre-allocating resource capacity to handle peak demands; (ii) reactively allocating resource capacity based on current demand; and (iii) proactively allocating and releasing resources prior to load increases or decreases by exploring characteristics of the educational domain and more precise information about expected demand. The results show that there is an opportunity for both educational institutions and Cloud providers to collaborate in order to enhance the quality of services and reduce costs.
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References
Ali-Eldin, A., Tordsson, J., Elmroth, E.: An adaptive hybrid elasticity controller for cloud infrastructures. In: Proceedings of the IEEE Network Operations and Management Symposium, NOMS 2012 (2012)
Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R.H., Konwinski, A., Lee, G., Patterson, D.A., Rabkin, A., Stoica, I., Zaharia, M.: A view of cloud computing. Communications of the ACM 53(4), 50–58 (2010)
Berman, F., Wolski, R., Figueira, S., Schopf, J., Shao, G.: Application-level scheduling on distributed heterogeneous networks. In: Proceedings of the 1996 ACM/IEEE Conference on Supercomputing. IEEE (1996)
Berman, F., Wolski, R., Casanova, H., Cirne, W., Dail, H., Faerman, M., Figueira, S.M., Hayes, J., Obertelli, G., Schopf, J.M., Shao, G., Smallen, S., Spring, N.T., Su, A., Zagorodnov, D.: Adaptive computing on the grid using apples. IEEE Transactions on Parallel Distributed Systems 14(4), 369–382 (2003)
Bodenstein, C., Hedwig, M., Neumann, D.: Strategic decision support for smart-leasing infrastructure-as-a-service. In: Proceedings of the International Conference on Information Systems, ICIS 2011 (2011)
Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging it platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer System 25(6), 599–616 (2009)
Chandra, A., Gong, W., Shenoy, P.D.: Dynamic Resource Allocation for Shared Data Centers Using Online Measurements. In: Jeffay, K., Stoica, I., Wehrle, K. (eds.) IWQoS 2003. LNCS, vol. 2707, pp. 381–400. Springer, Heidelberg (2003)
Emeakaroha, V.C., Netto, M.A.S., Calheiros, R.N., Brandic, I., Buyya, R., Rose, C.A.F.D.: Towards autonomic detection of sla violations in cloud infrastructures. Future Generation Computer Systems 28(7), 1017–1029 (2012)
Ganapathi, A., Chen, Y., Fox, A., Katz, R.H., Patterson, D.A.: Statistics-driven workload modeling for the cloud. In: Proceedings of the 26th International Conference on Data Engineering, ICDE 2010 (2010)
Gmach, D., Rolia, J., Cherkasova, L., Kemper, A.: Capacity management and demand prediction for next generation data centers. In: Proceedings of the IEEE International Conference on Web Services, ICWS 2007 (2007)
Gong, Z., Gu, X., Wilkes, J.: Press: Predictive elastic resource scaling for cloud systems. In: Proceedings of the 6th International Conference on Network and Service Management, CNSM 2010 (2010)
Greengard, S.: Cloud computing and developing nations. Communications of the ACM 53(5), 18–20 (2010)
Joung, H.Y., Do, E.Y.L.: Tactile hand gesture recognition through haptic feedback for affective online communication. In: Proceedings of International Conference on HCI (2011)
Kashef, M.M., Altmann, J.: A Cost Model for Hybrid Clouds. In: Vanmechelen, K., Altmann, J., Rana, O.F. (eds.) GECON 2011. LNCS, vol. 7150, pp. 46–60. Springer, Heidelberg (2012)
Katz, R.: The tower and the cloud: Higher education in the age of cloud computing. Educause (2010)
Katzan Jr., H., et al.: The education value of cloud computing. Contemporary Issues in Education Research (CIER) 3(7), 37–42 (2010)
Kshetri, N.: Cloud computing in developing economies. Computer 43(10), 47–55 (2010)
Li, W., Tordsson, J., Elmroth, E.: Virtual Machine Placement for Predictable and Time-Constrained Peak Loads. In: Vanmechelen, K., Altmann, J., Rana, O.F. (eds.) GECON 2011. LNCS, vol. 7150, pp. 120–134. Springer, Heidelberg (2012)
MacLean, K.E.: Designing with haptic feedback. In: Proceedings of the IEEE International Conference on Robotics and Automation, ICRA 2000 (2000)
Mircea, M., Andreescu, A.: Using cloud computing in higher education: A strategy to improve agility in the current financial crisis. Communications of the IBIMA 53(5) (2010)
Netto, M.A.S., Vecchiola, C., Kirley, M., Varela, C.A., Buyya, R.: Use of run time predictions for automatic co-allocation of multi-cluster resources for iterative parallel applications. Journal of Parallel and Distributed Computing 71(10), 1388–1399 (2011)
Petri, I., Rana, O.F., Regzui, Y., Silaghi, G.C.: Risk Assessment in Service Provider Communities. In: Vanmechelen, K., Altmann, J., Rana, O.F. (eds.) GECON 2011. LNCS, vol. 7150, pp. 135–147. Springer, Heidelberg (2012)
Sclater, N.: Cloud computing in education. Iite policy brief, UNESCO Institute for Information Technologies in Education (September 2010)
Stefanov, H., Jansen, S., Batenburg, R., van Heusden, E., Khadka, R.: How to Do Successful Chargeback for Cloud Services. In: Vanmechelen, K., Altmann, J., Rana, O.F. (eds.) GECON 2011. LNCS, vol. 7150, pp. 61–75. Springer, Heidelberg (2012)
Sultan, N.: Cloud computing for education: A new dawn? International Journal of Information Management 30(2), 109–116 (2010)
Wheeler, B., Waggener, S.: Above-campus services: shaping the promise of cloud computing for higher education. Educause Review 44(6), 52–67 (2009)
Yang, L.T., Ma, X., Mueller, F.: Cross-platform performance prediction of parallel applications using partial execution. In: Proceedings of the ACM/IEEE Conference on High Performance Networking and Computing (SC 2005) (2005)
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Koch, F., Assunção, M.D., Netto, M.A.S. (2012). A Cost Analysis of Cloud Computing for Education. In: Vanmechelen, K., Altmann, J., Rana, O.F. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2012. Lecture Notes in Computer Science, vol 7714. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35194-5_14
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DOI: https://doi.org/10.1007/978-3-642-35194-5_14
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