AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Tsinghua Science and Technology Article
PDF (1.7 MB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Open Access

A Load Balancing Model Based on Cloud Partitioning for the Public Cloud

College of Computer Science and Technology, Jilin University, Changchun 130012, China
College of Software, Jilin University, Changchun 130012, China
Show Author Information

Abstract

Load balancing in the cloud computing environment has an important impact on the performance. Good load balancing makes cloud computing more efficient and improves user satisfaction. This article introduces a better load balance model for the public cloud based on the cloud partitioning concept with a switch mechanism to choose different strategies for different situations. The algorithm applies the game theory to the load balancing strategy to improve the efficiency in the public cloud environment.

Keywords

load balancing modelpublic cloudcloud partitiongame theory

References

[1]
R. Hunter, The why of cloud, http://www.gartner.com/DisplayDocument?doc_cd=226469&ref=g_noreg, 2012.
[2]
M. D. Dikaiakos, D. Katsaros, P. Mehra, G. Pallis, and A. Vakali, Cloud computing: Distributed internet computing for IT and scientific research, Internet Computing, vol.13, no.5, pp.10-13, Sept.-Oct. 2009.
Crossref Google Scholar
[3]
P. Mell and T. Grance, The NIST definition of cloud computing, http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf, 2012.
Crossref
[4]
Microsoft Academic Research, Cloud computing, http://libra.msra.cn/Keyword/6051/cloud-computing?query=cloud%20computing, 2012.
[5]
Google Trends, Cloud computing, http://www.google.com/trends/explore#q=cloud%20computing, 2012.
[6]
N. G. Shivaratri, P. Krueger, and M. Singhal, Load distributing for locally distributed systems, Computer, vol. 25, no. 12, pp. 33-44, Dec. 1992.
Crossref Google Scholar
[7]
B. Adler, Load balancing in the cloud: Tools, tips and techniques, http://www.rightscale.com/info_center/white-papers/Load-Balancing-in-the-Cloud.pdf, 2012
[8]
Z. Chaczko, V. Mahadevan, S. Aslanzadeh, and C. Mcdermid, Availability and load balancing in cloud computing, presented at the 2011 International Conference on Computer and Software Modeling, Singapore, 2011.
[9]
K. Nishant, P. Sharma, V. Krishna, C. Gupta, K. P. Singh, N. Nitin, and R. Rastogi, Load balancing of nodes in cloud using ant colony optimization, in Proc. 14th International Conference on Computer Modelling and Simulation (UKSim), Cambridgeshire, United Kingdom, Mar. 2012, pp. 28-30.
Crossref
[10]
M. Randles, D. Lamb, and A. Taleb-Bendiab, A comparative study into distributed load balancing algorithms for cloud computing, in Proc. IEEE 24th International Conference on Advanced Information Networking and Applications, Perth, Australia, 2010, pp. 551-556.
Crossref
[11]
A. Rouse, Public cloud, http://searchcloudcomputing.techtarget.com/definition/public-cloud, 2012.
[12]
D. MacVittie, Intro to load balancing for developers — The algorithms, https://devcentral.f5.com/blogs/us/intro-to-load-balancing-for-developers-ndash-the-algorithms, 2012.
[13]
S. Penmatsa and A. T. Chronopoulos, Game-theoretic static load balancing for distributed systems, Journal of Parallel and Distributed Computing, vol. 71, no. 4, pp. 537-555, Apr. 2011.
Crossref Google Scholar
[14]
D. Grosu, A. T. Chronopoulos, and M. Y. Leung, Load balancing in distributed systems: An approach using cooperative games, in Proc. 16th IEEE Intl. Parallel and Distributed Processing Symp., Florida, USA, Apr. 2002, pp. 52-61.
Crossref
[15]
S. Aote and M. U. Kharat, A game-theoretic model for dynamic load balancing in distributed systems, in Proc. the International Conference on Advances in Computing, Communication and Control (ICAC3 ’09), New York, USA, 2009, pp. 235-238.
Crossref
Tsinghua Science and Technology
Volume 18 Issue 1,
February 2013
Pages 34-39
DOI: 10.1109/TST.2013.6449405
Cite this article:
Xu G, Pang J, Fu X. A Load Balancing Model Based on Cloud Partitioning for the Public Cloud. Tsinghua Science and Technology, 2013, 18(1): 34-39. https://doi.org/10.1109/TST.2013.6449405

939

Views

39

Downloads

96

Crossref

N/A

Web of Science

142

Scopus

0

CSCD

Altmetrics
Received: 14 December 2012
Accepted: 15 January 2013
Published: 07 February 2013
© The author(s) 2013
Return