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2018 | OriginalPaper | Chapter

A Study on Resource Scaling Scheme for Energy Efficiency in Cloud Datacenter

Authors : A-Young Son, Eui-Nam Huh

Published in: Advances in Computer Science and Ubiquitous Computing

Publisher: Springer Singapore

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Abstract

Cloud Data Center (CDC) is growing in popularity as academic and industry hot research spot. With the rapid growth of data centers, thousands of large data centers with lots of computing nodes are established. Accordingly, the energy consumption of the CDC is very high. Also, many of the current research studies have not considered server power state transition and its effect to performance and power consumption. In this paper, we build the resource scaling scheme for energy efficiency in CDCs with considered sleep-mode. And then from evaluation result, we proves that our proposed method is able to efficiently manage the resource and reduce energy consumption.

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Metadata
Title
A Study on Resource Scaling Scheme for Energy Efficiency in Cloud Datacenter
Authors
A-Young Son
Eui-Nam Huh
Copyright Year
2018
Publisher
Springer Singapore
Book
Advances in Computer Science and Ubiquitous Computing

Print ISBN: 978-981-10-7604-6

Electronic ISBN: 978-981-10-7605-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7605-3_170