Cloud Data Centre Energy Utilization Estimation

Author:

Rajput Ravindra Kumar Singh1,Goyal Dinesh2,Pant Anjali3,Sharma Gajanand4ORCID,Arya Varsha5,Rafsanjani Marjan Kuchaki6ORCID

Affiliation:

1. College of Basic Sciences and Humanities, India

2. PIET, India

3. Government Polytechnic, India

4. JECRC University, India

5. Insights2Techinfo, India

6. University of Kerman, Iran

Abstract

Due to the growth of the internet and internet-based software applications, cloud data center demand has increased. Cloud data centers have thousands of servers that are 24×7 working for users; it is the strong witness of enormous energy consumption for the operation of the cloud data center. However, server utilization is not remaining the same all the time, so, from an economic feasibility point of view, energy management is an essential activity for cloud resource management. Some well-known energy management techniques for cloud data centers generally used are dynamic voltage and frequency scaling (DVFS), dynamic power management (DPM), and task scheduling-based techniques. The present work is based on an analytical approach to integrating resource provisioning with sophisticated task scheduling; the authors estimate energy utilization by cloud data centers using iDR cloud simulator. The work is intended to optimize power consumption in the cloud data center.

Publisher

IGI Global

Subject

Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction

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