An efficient VM consolidation using Penguin Search Optimization Algorithm (PeSOA) for making cloud greener

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Abstract

Cloud computing is apace raising the most recent technology. High power consumption is the main drawback of cloud. The prevailing system provides a reactive and proactive Virtual Machine (VM) provisioning approach for the cloud. The prevailing system is tough to produce an honest exchange between power and performance. In the proposed system a unique approach to consolidate multiple virtual machines in exceedingly cloud-based distributed hosting surroundings. The proposed system uses Penguin Search Optimization Algorithm (PeSOA) to create an economical VM consolidation and helps planning, going up with the several concurrent virtual machines with different application. This system agrees to split VM sources along with applied programs, the amount of needed VMs is also decreased. The current strategy provides automated planning and realistic going up of several concurrent applications on specified features as favor thinking in an extremely allocated hosting atmosphere.

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Divya, N., Suprakash, S., & Balakannan, S. P. (2016). An efficient VM consolidation using Penguin Search Optimization Algorithm (PeSOA) for making cloud greener. In International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016 (pp. 2793–2796). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICEEOT.2016.7755206

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