Programs
- M. Tech. in Automotive Engineering -
- Clinical Fellowship in Laboratory Genetics & Genomics - Fellowship
Publication Type : Conference Proceedings
Publisher : In Proceedings of The 8th FTRA International Conference on Multimedia and Ubiquitous Engineering (MUE 2014), Lecture Notes in Electrical Engineering (LNEE)
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Verified : Yes
Year : 2014
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.