DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TSC.2013.37
Rakpong Kaewpuang , Nanyang Technological University, Singapore
Sivadon Chaisiri , Nanyang Technological University, Singapore
Dusit Niyato , Nanyang Technological University, Singapore
Bu-Sung Lee , Nanyang Technological University, Singapore
Ping Wang , Nanyang Technological University, Singapore
In this paper, we focus on the problems of cooperative virtual machine management of the cloud users in a smart grid environment. In such an environment, cloud users can cooperate to share the available computing resources in private cloud and public cloud to reduce the total cost. To achieve the optimal and fair solution, we develop the framework which is composed of the virtual machine allocation, cost management, and cooperation formation models. The problem becomes challenging due to the uncertainties (e.g., uncertain power price and unpredictable users&#8217; demand). Therefore, for the virtual machine allocation, the stochastic programming model is developed to obtain the optimal solutions of virtual machines to be hosted in the local data center, to be hosted on the public cloud service, or to be migrated to other cooperative cloud users. Then, among cooperative cloud users, the cost management is formulated as the coalitional game whose fair share of the total cost is obtained as the Shapley value. Next, given that the cloud users are rational, the cooperation formation is formulated as the network formation game to analyze the stability of the cooperation. In the experiment, we evaluate our proposed framework with real trace data.
Cloud computing, Resource management, Smart grids, Clouds, Virtual machining, Computational modeling, Games, Services Models, Optimization of Services Systems
B. Lee, D. Niyato, S. Chaisiri, R. Kaewpuang and P. Wang, "Cooperative Virtual Machine Management in Smart Grid Environment," in IEEE Transactions on Services Computing.