2018/12/20 by Nasrin Akhter, Akhter, Nasrin, Мohamed Othman +3
Computer Science · #Caching and Content Delivery #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.1812.08375
openalex publication_date 2018/12/20 · openalex created_date 2022/08/01 · openalex updated_date 2026/07/28
Saving energy is an important issue for cloud providers to reduce energy cost\nin a data center. With the increasing popularity of cloud computing, it is time\nto examine various energy reduction methods for which energy consumption could\nbe reduced and lead us to green cloud computing. In this paper, our aim is to\npropose a virtual machine selection algorithm to improve the energy efficiency\nof a cloud data center. We are also presenting experimental results of the\nproposed algorithm in a cloud computing based simulation environment. The\nproposed algorithm dynamically took the virtual machines' allocation,\ndeallocation, and reallocation action to the physical server. However, it\ndepends on the load and heuristics based on the analysis placement of a virtual\nmachine which is decided over time. From the results obtained from the\nsimulation, we have found that our proposed virtual machine selection algorithm\nreduces the total energy consumption by 19% compared to the existing one.\nTherefore, the energy consumption cost of a cloud data center reduces and also\nlowers the carbon footprint. Simulation-based experimental results show that\nthe proposed heuristics which are based on resource provisioning algorithms\nreduce the energy consumption of the cloud data center and decrease the virtual\nmachine's migration rate.\n