A FRAMEWORK AND ALGORITHMS FOR ENERGY EFFICIENT CONTAINER CONSOLIDATION IN CLOUD DATA CENTERS

Abstract

Now a day’s utilization of power in cloud data centers is very large. Minimization of power consumption in data centers is major challenge. Cloud computing uses a network of remote servers which are hosted on the Internet to process, manage, and store data rather than a local server. Containers in cloud is nothing but an image which is a lightweight, software package which executes independently which hold everything you need to run: code, system libraries, system tools, settings. Using container consolidation, containers are migrated to number of hosts. In Container overbooking, allocate some percentage of workload to any resources. In this scenario hosts having CPU utilization and power consumption less than 70% or more than 80% are considered as underloaded or overloaded. In this paper, focus is on the performance of two algorithms named container overbooking and initial placement of containers and compare the results with scheduling algorithms named FirstFit, MostFull, Random and LeastFull. We will combine the both algorithm and create the algorithm which improves the results with reduced the power consumption in data center and resource utilization.