An Energy Efficient Data Centre Selection Framework for Virtualized Cloud Computing Environment

摘要

Background: Data centers are the major sources for implementing critical issues in a cloud computing environment like networking, task scheduling, storage and the distribution of data. The objective is to design a data centre selection framework for submission of tasks to a data centre with minimal energy consumption. Methods: A framework is proposed to select a data centre for tasks submission with minimum total energy consumed by the servers, computer room air conditioning units and other IT equipments like routers, switches. The service provider has to register all the data centers in a data centre registry and the data centre selection framework decides upon task allocation to the appropriate data centre with minimal energy consumption. The results are simulated using Google Cloud Trace logs and cloud analyst tool. The proposed work is compared with shortest distance first and round robin methods. Findings: The performance analysis indicate that the proposed framework is an efficient way for tasks submission to a data centre as it concentrates on minimizing the energy consumption which in turn reduces operational expenditures of the cloud environment. The comparisons of the work with other algorithms indicate that the proposed framework consumes far less energy. Improvements: The framework can be implemented by tools like IBM Bluemix which uses Internet of Things (IoT) technology for reading the energy using sensors.