Improved Dynamic Load Balance Model on Gametheory for the Public Cloud
Rayapu Swathi, N.Parashuram, Dr S.Prem Kumar, ,
Affiliations (M.Tech), CSEAssistant Professor, Department of Computer Science and EngineeringProfessor & HOD, Department of computer science and engineering, G.Pullaiah College of Engineering and Technology, Kurnool, Andhra Pradesh, India.
Cloud computing is an enhancing technology in the field of computer science. Cloud computing is an efficient
and scalable but maintaining the stability of processing several jobs in the cloud computing environment is a very complex
problem with load balancing receiving much attention for researchers. Load balancing in the cloud computing surroundings
has an imperative impact on the performance. Excellent load balancing makes cloud computing more efficient and improves
user satisfaction. At present cloud computing is one of the utmost platforms which deliver storage of data in very lowers cost
and accessible for all time over the internet. But it has more serious issue like security, load management and fault tolerance.
Load balancing in the cloud computing environment has a significant influence on the presentation. The algorithm relates the
game theory to the load balancing approach to increase the proficiency in the public cloud environment. This article announces an improved load balance model for the public cloud centered on the cloud segregating concept with a switch mechanism to select different approaches for different circumstances.
Rayapu Swathi,N.Parashuram,Dr S.Prem Kumar."Improved Dynamic Load Balance Model on Gametheory for the Public Cloud". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 09,pp.622-626, SEPTEMBER - 2015, URL :https://ijcert.org/ems/ijcert_papers/V2I919.pdf,
 R. Hunter, The why of cloud, http://www.gartner.com/DisplayDocument?do c 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/ cloudcomputing?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-Balancingin-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 InformationNetworking and Applications, Perth, Australia, 2010, pp. 551- 556.
 A. Rouse, Public cloud, http://searchcloudcomputing.techtarget.com/d efinition/public-cloud, 2012.
 D. MacVittie, Intro to load balancing for developers â€”The algorithms, https://devcentral.f5.com/blogs/us/introtoloadbalancing-for-developers-ndash-the- algorithms, 2012.
 S. Penmatsa and A. T. Chronopoulos, Gametheoretic 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 â€Ÿ09), New York, USA, 2009, pp. 235-238. Gaochao Xu received his BEng degree
Authors are not required to pay any article-processing charges (APC) for their article to be published open access in Journal IJCERT. No charge is involved in any stage of the publication process, from administrating peer review to copy editing and hosting the final article on dedicated servers. This is free for all authors.
News & Events
Latest issue :Volume 10 Issue 1 Articles In press
☞ INVITING SUBMISSIONS FOR THE NEXT ISSUE :
☞ LAST DATE OF SUBMISSION : 31st March 2023
☞ SUBMISSION TO FIRST DECISION : In 7 Days
☞ FINAL DECISION : IN 3 WEEKS FROM THE DAY OF SUBMISSION
All the authors, conference coordinators, conveners, and guest editors kindly check their articles' originality before submitting them to IJCERT. If any material is found to be duplicate submission or sent to other journals when the content is in the process with IJCERT, fabricated data, cut and paste (plagiarized), at any stage of processing of material, IJCERT is bound to take the following actions.
1. Rejection of the article.
2. The author will be blocked for future communication with IJCERT if duplicate articles are submitted.
3. A letter regarding this will be posted to the Principal/Director of the Institution where the study was conducted.
4. A List of blacklisted authors will be shared among the Chief Editors of other prestigious Journals
We have been screening articles for plagiarism with a world-renowned tool: Turnitin However, it is only rejected if found plagiarized. This more stern action is being taken because of the illegal behavior of a handful of authors who have been involved in ethical misconduct. The Screening and making a decision on such articles costs colossal time and resources for the journal. It directly delays the process of genuine materials.