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Multi-Core Scheduling in Cloud Computing

by Abhishek Kaushik, Inderveer Chana
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 9
Year of Publication: 2012
Authors: Abhishek Kaushik, Inderveer Chana
10.5120/ijais12-450729

Abhishek Kaushik, Inderveer Chana . Multi-Core Scheduling in Cloud Computing. International Journal of Applied Information Systems. 4, 9 ( December 2012), 1-3. DOI=10.5120/ijais12-450729

@article{ 10.5120/ijais12-450729,
author = { Abhishek Kaushik, Inderveer Chana },
title = { Multi-Core Scheduling in Cloud Computing },
journal = { International Journal of Applied Information Systems },
issue_date = { December 2012 },
volume = { 4 },
number = { 9 },
month = { December },
year = { 2012 },
issn = { 2249-0868 },
pages = { 1-3 },
numpages = {9},
url = { https://www.ijais.org/archives/volume4/number9/383-0729/ },
doi = { 10.5120/ijais12-450729 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:47:56.289950+05:30
%A Abhishek Kaushik
%A Inderveer Chana
%T Multi-Core Scheduling in Cloud Computing
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 4
%N 9
%P 1-3
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

I. T. industry keeps on looking for high processing power, the reason behind the introduction of multi-core processors. Cloud computing is also to adopting multi-core processors. Prologue of multi-core processors in cloud computing comes with discrepancies, one of which is resource scheduling. The virtual machine that runs on cloud fights for the core in multi-core processors. This leads to problems like starvation and under-utilization. There are several techniques for multi-core resource scheduling but none of present techniques focuses on resource scheduling of multi-core processors especially in cloud environment. A new approach is proposed in this paper which overcomes the problems which occurs when present multi-core resource scheduling techniques compared in the cloud environment.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing multi-core processors scheduling

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