Publication Type:

Conference Proceedings

Source:

In Proceedings of The 8th FTRA International Conference on Multimedia and Ubiquitous Engineering (MUE 2014), Lecture Notes in Electrical Engineering (LNEE), Springer Berlin Heidelberg, Volume 308, Berlin, Heidelberg, p.83–89 (2014)

ISBN:

9783642548994

URL:

http://dx.doi.org/10.1007/978-3-642-54900-7_12

Abstract:

In cloud computing setup of computers power consumption among the distributed computers needs to be minimal with every server running increases the power cost by an average of 50w-100w. A real time implementation of an algorithm to minimize the power consumed in a setup of a parent computer a PIC microprocessor and connected servers is needed to manage the unwanted waste in energy. The usual traditional scheduler doesn’t meet the requirements. We program the Microcontroller to implement our algorithm which ensured that minimum number of servers run for a given numbers of virtual machines. The Distributive Power Migration & Management Algorithm for Cloud Environment that uses the resources in an effective and efficient manner ensuring minimal use of power. The proposed algorithm performs computation more efficiently in a scalable cloud computing environment. The results indicate that the algorithm reduces up to 28% of the power consumption to execute services.

Cite this Research Publication

Dr. Prakash P, Kousalya, G., Dr. Shriram K Vasudevan, and Rangaraju, K. K., “Hardware Based Distributive Power Migration and Management Algorithm for Cloud Environment”, In Proceedings of The 8th FTRA International Conference on Multimedia and Ubiquitous Engineering (MUE 2014), Lecture Notes in Electrical Engineering (LNEE), vol. 308. Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 83–89, 2014.

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