Abstract
To address the virtual machine cluster deployment issues in cloud computing environment, a novel MCSA (Min-cut segmentation algorithm) of virtual machine cluster is proposed with resource and communication bandwidth constraints. In this paper, the basic idea is based on the fully consideration on the CPU, memory, hard-disk and other resource constraints between virtual machine cluster and physical host, as well as the communication bandwidth constraints between the virtual machine. We quantified the virtual machine cluster constructed an undirected graph. In the undirected graph, the nodes represent the virtual machine, so the weight of a node represents the value of resources, and the edges represent the communication bandwidth, so the weight of the edge represents the value of communication bandwidth. Base on the above transformations, the resources and bandwidth constrained optimization problem is transformed into the graph segmentation problem. Next we segment the undirected graph by minimum cut algorithm, and computing the matching degree of physical machines. Last we obtained the approximate solution. To validate the effectiveness of the new algorithm, we carried out extensive experiments based on the CloudSim platform.
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Acknowledgment
The authors would like to thank the anonymous reviewers for their helpful and constructive comments. This work is supported by education reform Item of Hunan Normal University (Grant [2014]75). Program for Excellent Talents in Hunan Normal University (Grant no.ET61008).
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Yao, Z., Tang, WS., Wang, SC., Peng, H. (2016). Research on Virtual Machine Cluster Deployment Algorithm in Cloud Computing Platform. In: Wu, J., Li, L. (eds) Advanced Computer Architecture. ACA 2016. Communications in Computer and Information Science, vol 626. Springer, Singapore. https://doi.org/10.1007/978-981-10-2209-8_7
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DOI: https://doi.org/10.1007/978-981-10-2209-8_7
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