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Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing

by Deep Mann, Inderveer Chana
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 50 - Number 10
Year of Publication: 2012
Authors: Deep Mann, Inderveer Chana
10.5120/7806-0939

Deep Mann, Inderveer Chana . Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing. International Journal of Computer Applications. 50, 10 ( July 2012), 13-17. DOI=10.5120/7806-0939

@article{ 10.5120/7806-0939,
author = { Deep Mann, Inderveer Chana },
title = { Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 50 },
number = { 10 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume50/number10/7806-0939/ },
doi = { 10.5120/7806-0939 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:47:55.202078+05:30
%A Deep Mann
%A Inderveer Chana
%T Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 50
%N 10
%P 13-17
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing is a recent innovation, which provides various services on a usage based payment model. The rapid expansion in data centers has triggered the dramatic increase in energy used, operational cost and its effect on the environment in terms of carbon footprints. To reduce power consumption, it is necessary to consolidate the hosting workloads. In this paper, we present a Single Threshold technique for efficient consolidation of heterogeneous workloads. Our technique focuses on the energy consumption of the data center due to the heterogeneity of the workloads and also gives information about the SLA violations. The experimental results demonstrate that our technique is efficient for the data centers to consolidate the heterogeneous workloads.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Energy Efficiency and Heterogeneous Workload Consolidation

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