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Reseach Article

An Improved Energy-Efficient Policy for Overload Host Detection in Cloud Environment

Published on August 2019 by Satveer, Mahendra Singh
International Conference on Recent Trends in Science, Technology, Management and Social Development
Foundation of Computer Science USA
ICRTSTMSD2018 - Number 1
August 2019
Authors: Satveer, Mahendra Singh
8b9c4141-f9ca-47e1-9d38-bf7baaed8bcd

Satveer, Mahendra Singh . An Improved Energy-Efficient Policy for Overload Host Detection in Cloud Environment. International Conference on Recent Trends in Science, Technology, Management and Social Development. ICRTSTMSD2018, 1 (August 2019), 9-13.

@article{
author = { Satveer, Mahendra Singh },
title = { An Improved Energy-Efficient Policy for Overload Host Detection in Cloud Environment },
journal = { International Conference on Recent Trends in Science, Technology, Management and Social Development },
issue_date = { August 2019 },
volume = { ICRTSTMSD2018 },
number = { 1 },
month = { August },
year = { 2019 },
issn = 0975-8887,
pages = { 9-13 },
numpages = 5,
url = { /proceedings/icrtstmsd2018/number1/30843-1803/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Trends in Science, Technology, Management and Social Development
%A Satveer
%A Mahendra Singh
%T An Improved Energy-Efficient Policy for Overload Host Detection in Cloud Environment
%J International Conference on Recent Trends in Science, Technology, Management and Social Development
%@ 0975-8887
%V ICRTSTMSD2018
%N 1
%P 9-13
%D 2019
%I International Journal of Computer Applications
Abstract

As the cloud users and their data are growing very rapidly, the cloud service providers are also establishing the power hungry datacenters across the world to grant all types of cloud services and to store the data. Cloud providers are facing challenging problems of energy and SLA tradeoff, minimization of operating cost and CO2 emission in environment. The VM consolidation is extremely efficient and proactive approach for saving the energy online with dynamic workloads in cloud datacenters. In this paper, we have proposed a new host overload detection policy for reducing the energy consumption with low SLA violation. The simulation results with cloudsim guarantees for minimizing the energy consumption and maximizing the SLA by preserving the VM migration, average SLAV, frequency of host shutdown in comparison with state of arts.

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Index Terms

Computer Science
Information Sciences

Keywords

Energy Slav Host Virtual Machines (vm) Vm Consolidation (vmc) Datacenters (dc)