Optimizing electrical energy consumption in cloud data center

Publication Type

Conference Proceeding

Publication Date (Issue Year)

2019

Journal Name

2019 3rd International Conference on Intelligent Computing in Data Sciences, ICDS

Abstract

The cloud data Center uses more and more computers leading to the need for new electrical installations each year, increasing thus power consumption. Many studies on optimizing energy consumption have recently been conducted. As a result, many techniques aimed at reducing energy consumption have been adopted. Efficient VM management can reduce energy consumed. In this paper, we investigate the energy minimization problem while taking into account of VM management. We introduce an algorithm which reduces the energy consumption by decreasing the number of active PMs, while also preserves quality of service (QoS). We began with a review of the various techniques used for minimizing the energy consumed in the data center by analysing them. We propose an approach based on a virtual machine (VM) migration technique. To evaluate our approach, we used the CloudSim simulator. We finally made simulations whose results allow us to say that our approach can improve the energy gain while preserving the quality of service.

Keywords

Energy, Heuristic, Virtual Machines, Cloud, Migration

Rsif Scholar Name

Fatoumata Thiam

Rsif Scholar Email

fatoumatathiam890@gmail.com

Rsif Scholar Nationality

Senegal

Cohort

Cohort 1

Thematic Area

ICTs Including Big Data and Artificial Intelligence

Africa Host University (AHU)

University of Gaston Berger (UGB), Senegal

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