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Cost Optimized Resource Provisioning in Cloud Computing Environments
Abstract
An Optimal solution of resource provisioning cost in cloud computing has received considerable attention recently to facilitate cloud resources and services provisioning on an on demand basis to users and multiple providers. A key difficulty in optimization under uncertainty is in dealing with an uncertainty problem that is huge and frequently leads to very large-scale optimization of resource provisioning models. This problem leads difficulty to achieve an optimal solution of resource provisioning cost in cloud computing. The proposed resource optimization model is used for formulating and solving stochastic integer program to minimize the cloud consumer’s total provisioning cost. In this model, Benders decomposition, and sample average approximation are considered to obtain optimal resource provisioning cost.
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References
Miao Pan, Xinxin Liu, Xiaolin Li, Yuguang Fang, “Optimal Resource Rental Planning for Elastic Applications in Cloud Market,” IEEE 26th International Conference on Parallel & Distributed Processing Symposium (IPDPS), May 2012.
Qiang Li, “Applying Stochastic Integer Programming to Optimization of Resource Scheduling in Cloud Computing,” Journal of Networks, Jul 2012.
Amit Gera, Cathy H. Xia, “Learning Curves and Stochastic Models for Pricing and Provisioning Cloud Computing Services,” Journel of Service Science, 2011.
Takayuki Shiina, “Dynamic Slope Scaling Procedure for Stochastic Integer Programming Problem,” International Journal of Economics and Management Sciences 6 2012.
Narjes Khatoon. Naseri, Amin. Jula, “A New Approach to Optimize Time-Cost in Grid Resource Allocation,” International Conference on Soft Computing and its Applications (ICSCA'2012) August 25-26, 2012.
B. Arun Kumar, T. Ravichandran, “Time and Cost Optimization Algorithm for Scheduling Multiple Workflows in Hybrid Clouds,” European Journal of Scientific Research 2012.
Bahman Javadi, Parimala Thulasiraman, Rajkumar Buyya, “Cloud Resource Provisioning to Extend the Capacity of Local Resources in the Presence of Failures,” IEEE 14th International Conference on High Performance Computing and Communications 2012.
Guofu Feng, Saurabh Garg, Wenzhong Li, “Revenue Maximization Using Adaptive Resource Provisioning in Cloud Computing Environments,” ACM/IEEE 13th International Conference on Grid Computing 2012.
Eun-Kyu Byun, Yang-Suk Kee, Jin-Soo Kim, Seungryoul Maeng, “Cost optimized provisioning of elastic resources for application workflows,” Future Generation Computer Systems 27 (2011).
Rajni Aron, Inderveer Chana, “Cost based Resource Provisioning Policy for Grids,” Proceedings of the World Congress on Engineering 2011 Vol II.
Juve and E. Deelman, “Resource Provisioning Options for Large-Scale Scientific Workflows,” Proc. IEEE Fourth Int’l Conf. e-Science, 2008.
Kusic and N. Kandasamy, “Risk-Aware Limited Lookahead Control for Dynamic Resource Provisioning in Enterprise Computing Systems,” Proc. IEEE Int’l Conf. Autonomic Computing, 2006.
S. Chaisiri, B.S. Lee, and D. Niyato, “Optimal Virtual Machine Placement across Multiple Cloud Providers,” Proc. IEEE Asia-Pacific Services Computing Conf. (APSCC), 2009.
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