Optimal Virtual Machine Allocation and Migration Model Based on PCA-BFD
DOI:
https://doi.org/10.26438/ijcse/v6i5.704707Keywords:
energy efficiency, PCA-BFD, migration, allocation, load balancingAbstract
This paper comprises of two sections, in the first section study the various energy aware best fit decreasing algorithms like BFD, MBFD, PCA-BFD, and EPOBF, and comparison has been done on the basis of past data. Study shows that PCA-BFD is the best algorithm for energy efficiency. In the second part of this paper PCA-BFD is used for migration purpose. First of all load of all host are evaluated and find the overloaded and under loaded server known as hot-spot node. That node whose load is balanced is considered as non hot-spot node. Virtual machines in hot-spot nodes are sorted in descending order so those high power consumption nodes migrate first. Non hot-spot nodes are sorted in ascending order so low power consumption server are firstly filled.
References
Beloglazov, A., & Buyya, R, “Energy efficient resource management in virtualized cloud data centers,” Proceedings of the IEEE/ACM international conference on cluster, cloud and grid computing, pp. 826-831,2010
Mustafa,S., et.al., “Performance Evaluation of Energy –aware Best Fit Decreasing Algorithms for Cloud Environments” , International Conference on Data Science and Data Intensive Systems(DSDIS), IEEE, 2015
Quang-Hung, N., Thoai, N., & Son, N. T. (2014). EPOBF: energy efficient allocation of virtual machines in high performance computing cloud. In Transactions on Large-Scale Data-and Knowledge-Centered Systems XVI (pp. 71-86). Springer Berlin Heidelberg.
Mann, Z. Á. (2015). Allocation of virtual machines in cloud data centers—a survey of problem models and optimization algorithms. Acm Computing Surveys (CSUR), 48(1), 11.
Farahnakian, F., Pahikkala, T., Liljeberg, P., Plosila, J., & Tenhunen, H, “Utilization prediction aware VM consolidation approach for green cloud computing,” Cloud Computing (CLOUD), IEEE 8th International Conference, pp. 381-388,2015.
Varasteh A, Goudarzi M. Server consolidation techniques in virtualized data centers: a survey. IEEE Syst J. 2015;11(2):772–83.
S. Martello, P. Toth, "Knapsack Problems–Algorithms and Computer Implementations", John Wiley & Sons, 1990
N. Tziritas, C.-Z. Xu, T. Loukopoulos, S. U. Khan, Z. Yu, "Application-aware Workload Consolidation to Minimize both Energy Consumption and Network Load in Cloud Environments", 42nd IEEE International Conference on Parallel Processing (ICPP), 2013
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