Resource Allocation in Cloud Using the Adaptive Chronological Based Exponential Lion Optimization algorithm

  • J. Devagnanam, Dr. N. M. Elango

Abstract

Cloud computing is a service-dependent framework that renders the on-demand access to the resources for various applications.  The main intention of the cloud computing is to allocate the shared resources effectively and to maintain the profit of the cloud provider. In this paper, an adaptive optimization method is introduced to allocate the resources optimally for cloud computing. The adaptive chronological-based exponential lion is the modified algorithm, which is developed through the integration of the adaptive concept in the exponential lion optimization algorithm that inherits the advantages of exponential concept in Lion optimization algorithm (LOA). The cloud provider allocates the resources effectively as requested by the users using proposed adaptive exponential lion optimization (adaptive E-Lion) algorithm, which is based on the fitness function that is designed based on the performance evaluation metrics, such as CPU utilization rate, memory utilization rate, and frequency scaling factor. The proposed method is analysed under problem instances and evaluated based on performance evaluation metrics. The proposed adaptive chronological-based exponential lion outclassed other comparative models, which acquired the profit, CPU Utilization rate, and Memory Utilization rate values of 21.8705, 0.1032 and 0.00139,respectively.

Published
2020-03-30
How to Cite
J. Devagnanam, Dr. N. M. Elango. (2020). Resource Allocation in Cloud Using the Adaptive Chronological Based Exponential Lion Optimization algorithm. International Journal of Advanced Science and Technology, 29(3), 11625 - 11636. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/29833
Section
Articles