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Reseach Article

Energy-Efficient Job Scheduling and Allocation Scheme for Virtual Machines in Private Clouds

by Shailesh S. Deore, Ashok Narayan Patil
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 5 - Number 1
Year of Publication: 2013
Authors: Shailesh S. Deore, Ashok Narayan Patil
10.5120/ijais12-450842

Shailesh S. Deore, Ashok Narayan Patil . Energy-Efficient Job Scheduling and Allocation Scheme for Virtual Machines in Private Clouds. International Journal of Applied Information Systems. 5, 1 ( January 2013), 56-60. DOI=10.5120/ijais12-450842

@article{ 10.5120/ijais12-450842,
author = { Shailesh S. Deore, Ashok Narayan Patil },
title = { Energy-Efficient Job Scheduling and Allocation Scheme for Virtual Machines in Private Clouds },
journal = { International Journal of Applied Information Systems },
issue_date = { January 2013 },
volume = { 5 },
number = { 1 },
month = { January },
year = { 2013 },
issn = { 2249-0868 },
pages = { 56-60 },
numpages = {9},
url = { https://www.ijais.org/archives/volume5/number1/412-0842/ },
doi = { 10.5120/ijais12-450842 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T16:00:56.523169+05:30
%A Shailesh S. Deore
%A Ashok Narayan Patil
%T Energy-Efficient Job Scheduling and Allocation Scheme for Virtual Machines in Private Clouds
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 5
%N 1
%P 56-60
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud Computing is a promising paradigm in deployment of software and there survive. Computer researcher says a magnificent sentence, cloud computing is next generation operating system. Technologies such as cluster, grid, and now, cloud computing, have all aimed at allowing entrance to large amounts of computing power in a fully virtualized, para-virtulized manner. The Energy efficiency of information and communication technology becomes more and more vital due to elevate of energy costs and the world wide desire to decrease CO2 emissions [13],[14]. In this paper we argues energy-efficient job scheduling and allocation scheme that minimize number of hosts, so amount of energy conserve.

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Index Terms

Computer Science
Information Sciences

Keywords

Energy Virtual energy efficient Workload VM VM request