Abstract
With cloud computing, a virtually inexhaustible pool of computing capacity has become available to IT users. However, given the large number of Infrastructure as a Service offers with differing pricing options, the cost-efficient distribution of workloads poses a complex challenge. In this work-in-progress paper, we formally describe the Cloud-oriented Workload Distribution Problem and propose an exact as well as a heuristic optimization approach. Through an evaluation that is based on realistic data from the cloud market, we examine the performance and practical applicability of these approaches.
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References
Buyya, R., Yeo, C., 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 Systems 25(6), 599–616 (2009)
Hillier, F., Lieberman, G.: Introduction to Operations Research, 8th edn. McGraw-Hill (2005)
Lampe, U., Mayer, T., Hiemer, J., Schuller, D., Steinmetz, R.: Enabling Cost-Efficient Software Service Distribution in Infrastructure Clouds at Run Time. In: 2011 IEEE Int. Conf. on Service Oriented Computing & Applications, pp. 82–89 (2011)
Domschke, W., Drexl, A.: Einführung in Operations Research, 6th edn. Springer (2004) (in German)
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)
Genez, T., Bittencourt, L., Madeira, E.: Workflow Scheduling for SaaS/PaaS Cloud Providers Considering two SLA Levels. In: 2012 IEEE Network Operations and Management Symposium, pp. 906–912 (2012)
Byun, E., Kee, Y., Kim, J., Maeng, S.: Cost Optimized Povisioning of Elastic Resources for Application Workflows. Future Generation Computer Systemss 27, 1011–1026 (2011)
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Lampe, U., Siebenhaar, M., Hans, R., Schuller, D., Steinmetz, R. (2012). Let the Clouds Compute: Cost-Efficient Workload Distribution in Infrastructure Clouds. 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_7
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DOI: https://doi.org/10.1007/978-3-642-35194-5_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35193-8
Online ISBN: 978-3-642-35194-5
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