Email this article The Dynamic Load Balancing Method On Game Theory For Distributed Systems
Abstract
The load balancing model is aimed at the public cloud which has several nodes with scattered computing resources in different geographic locations. When the environment is very large and difficult these divisions simplify the load balancing. The cloud has a main controller that chooses the suitable partitions for arriving jobs while the balancer for each cloud partition chooses the best load balancing strategy. Thus this model divides the public cloud into several cloud partitions. Static schemes do not use the system information and are fewer compounds while dynamic schemes will bring additional costs for the system but can change as the system status changes. The model has a main controller and balancers to gather and analyse the information.
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References
R. Hunter, The why of cloud, http://www.gartner.com/ DisplayDocument?doc cd=226469&ref= g noreg, 2012.
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.
P. Mell and T. Grance, The NIST definition of cloud computing, http://csrc.nist.gov/ publications/nistpubs/800- 145/SP800-145.pdf, 2012.
Microsoft Academic Research, Cloud computing, http:// libra.msra.cn/Keyword/6051/cloud-computing?query= cloud%20computing, 2012.
Google Trends, Cloud computing, http://www.google. com/trends/explore#q=cloud%20computing, 2012.
N. G. Shivaratri, P. Krueger, and M. Singhal, Load distributing for locally distributed systems, Computer, vol. 25, no. 12, pp. 33-44, Dec. 1992.
B. Adler, Load balancing in the cloud: Tools, tips and techniques, http://www.rightscale. com/info center/whitepapers/ Load-Balancing-in-the-Cloud.pdf, 2012
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.
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.
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.
A. Rouse, Public cloud, http://searchcloudcomputing. techtarget.com/definition/public-cloud, 2012.
D. MacVittie, Intro to load balancing for developers — The algorithms, https://devcentral.f5.com/blogs/us/introto- load-balancing-for-developers-ndash-the-algorithms, 2012.
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.
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.
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.
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