TY  - JOUR
T1  - Optimal Energy Efficient Scheduling in Public Cloud Networks
AU - Muthurajkumar, S. AU - Vijayalakshmi, M. AU - Kannan, A. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 9
SP  - 1468
EP  - 1471
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.1468.1471
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.1468.1471
KW  - Energy efficient
KW  -data dynamic operation
KW  -cloud computing
KW  -schemes
KW  -India
AB  - In a cloud computing, heterogeneous multi-core server processors are present across clouds and data storage centers. Therefore, the total performance of the cloud system can be optimized by providing effective and secured storage and retrieval methods. This paper proposes a new algorithm to optimize power and performance based on load distribution and balancing methods for cloud computing. The proposed algorithm performs performance optimization using speed, time, energy and security. This method has been implemented in a cloud environment and the efficiency of the proposed scheme is compared with the existing schemes and it is found the storage and energy are optimized.
ER  -