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General Information
ISSN:
1796-2021 (Online); 2374-4367 (Print)
Abbreviated Title:
J. Commun.
Frequency:
Monthly
DOI:
10.12720/jcm
Abstracting/Indexing:
Scopus
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DBLP
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CrossRef
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EBSCO
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Google Scholar
;
CNKI,
etc.
E-mail questions
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editor@jocm.us
Acceptance Rate:
27%
APC:
800 USD
Average Days to Accept:
88 days
3.4
2023
CiteScore
51st percentile
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Editor-in-Chief
Prof. Maode Ma
College of Engineering, Qatar University, Doha, Qatar
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
[Read More]
What's New
2024-08-20
Vol. 19, No. 8 has been published online!
2024-07-22
Vol. 19, No. 7 has been published online!
2024-06-20
Volume 19, No. 4 has been indexed by Scopus.
Home
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Published Issues
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2017
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Volume 12, No. 5, May 2017
>
An Optimal Cloud Based Road Traffic Management System with Novel VM Machine Migration Technique
Md Rafeeq
1
, C. Sunil Kumar
2
, and N. Subhash Chandra
3
1. CMR Technical Campus, Kandlakoya, medchal, hyd-501401, TS, India
2. SNIST, Yamnampet, Ghatkesar, Hyd 501301, TS-India
3. HITS, Keesara, Bogaram, Rangareddy - 501301, TS-India
Abstract
—With the tremendous growth of population and the increasing road traffic, the demand for optimized traffic data collection and management framework is also increasing. The collection of traffic data using multiple sensors and other capture devices are been addressed in multiple researches deploying the mechanism using geodetically static sensor agents. Nevertheless to avoid the congestion, the parallel research works has proposed frameworks based on cloud based data centers. Thought, those approaches does not propose any technique to reduce the cost and improve the service level agreements to match with the current industry and research demands. Thus, this work proposes a cloud based automatized framework for virtual machine migration to increase the SLA without compromising the cost for storage and energy. The major achievement of this work is to minimize the SLA violation compared to existing virtual machine migration techniques for load balancing. The extensive practical demonstrations of virtualization and migration benefits are also carried out in this work. With the extensive experimental setup the work furnishes the comparative analysis of simulations for popular existing techniques and the proposed framework.
Index Terms
—Three phase optimal migration, SLA improvement, VM image formats, cost comparison, performance evaluation matrix
Cite: Md Rafeeq, C. Sunil Kumar, and N. Subhash Chandra, "An Optimal Cloud Based Road Traffic Management System with Novel VM Machine Migration Technique," Journal of Communications, vol. 12, no. 5, pp. 298-303, 2017. Doi: 10.12720/jcm.12.5.298-303
7-JCM703221
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