Authors : S. Muthurajkumar, M. Vijayalakshmi and A. Kannan
Abstract: 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.
S. Muthurajkumar, M. Vijayalakshmi and A. Kannan, 2016. Optimal Energy Efficient Scheduling in Public Cloud Networks. Asian Journal of Information Technology, 15: 1468-1471.