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http://dx.doi.org/10.7840/kics.2015.40.1.61

Energy-Aware Virtual Machine Deployment Method for Cloud Computing  

Kim, Minhoe (Soongsil University Department of Telecommunication Engineering)
Park, Minho (Soongsil University Department of Telecommunication Engineering)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.40, no.1, 2015 , pp. 61-69 More about this Journal
Abstract
Through Virtual Machine technology(VM), VMs can be packed into much fewer number of physical servers than that of VMs. Since even an idle physical server wastes more than 60% of max power consumption, it has been considered as one of energy saving technologies to minimize the number of physical servers by using the knapsack problem solution based on the computing resources. However, this paper shows that this tightly packed consolidation may not achieve the efficient energy saving. Instead, a service pattern-based VM consolidation algorithm is proposed. The proposed algorithm takes the service time of each VM into account, and consolidates VMs to physical servers in the way to minimize energy consumption. The comprehensive simulation results show that the proposed algorithm gains more than 30% power saving.
Keywords
Cloud computing; Virtualization; Consolidation; Energy Saving;
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