A Hybrid Heuristic Algorithm to Enhance Load balancing in Cloud Environment

Authors

  • V Ravi Teja Kanakala
  • K Pavan Kumar
  • S Kavitha

Keywords:

Cloud computing, Virtualized computer resources, Dynamic workload, Load balancer, Load balancing algorithm, Least Connection (LC) algorithm, Power consumption

Abstract

Cloud computing, an internet based technology which provides virtualized computer resources over the internet. Distribution of the dynamic workload among the computer resources in the cloud evenly in such a way that no single node is overloaded or under loaded is called Load Balancing. An efficient load balancer will increase the performance of cloud, maximizes the cloud services and also increases the resource utilization. Today increasing the performance of a cloud depends on many factors, among them Load Balancing is one of the main factors. In this paper we propose a load balancing algorithm which is a variant to the Weight Least Connection (WLC) algorithm. The proposed algorithm shows better results in several aspects like accurate calculation of work load on a resource, distributing the work load on the service nodes efficiently, enhancing the response time and minimizing the overall task execution time.

References

. Xiaona Ren, Rongheng Lin,Hua Zou, “A Dynamic Load Balancing Strategy For Cloud Computing Platform Based On Exponential Smoothing Forecast”, IEEE ccis2011, pp-220-225, 2011.

. Li-Hui Yang, Sheng-Sheng YuA, “Variable Weighted Least-Connection Algorithm For Multimedia Transmission”, Journal of Shanghai University, Volume 7, Issue 3, pp 256-260, 2003.

. Shanti swaroop moharana, rajadeepan d. Ramesh, digamber powar, “Analysis Of Load Balancers In Cloud Computing”, International Journal of Computer Science and Engineering (IJCSE) ISSN 2278-9960 Vol. 2, Issue 2, May 2013.

. E. Kartal Tabak, B. Barla Cambazoglu, Cevdet Aykanat, “Improving the Performance of Independent Task Assignment Heuristics MinMin, MaxMin and Sufferage”, IEEE Transactions On Parallel And Distributed Systems, VOL. 25, NO. 5, MAY 2014.

. Ra´ul Alonso-Calvo, Jose Crespo, “On distributing load in cloud computing: A real application for very-large image datasets” Procedia Computer Science 1, Elsevier, 2669–2677, 2012.

. Kousik Dasgupta, Brototi Mandal, Paramartha Dutta, Jyotsna Kumar Mondal, Santanu Dam, “A Genetic Algorithm (GA) based Load Balancing Strategy for Cloud Computing”, Procedia Technology 10, Elsevier, 340 – 347, 2013.

. O.H. Ibarra and C.E. Kim, “Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors,” J. ACM, vol. 24, no. 2, pp. 280-289, 1977.

. S. Parsa and R. Entezari-Maleki, “RASA - A New Grid Task Scheduling Algorithm,” Int’l J. Digital Content Technology and Its Applications, vol. 3, no. 4, pp. 91-99, 2009.

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Published

2025-11-11

How to Cite

[1]
V. Ravi Teja Kanakala, K. Pavan Kumar, and S. Kavitha, “A Hybrid Heuristic Algorithm to Enhance Load balancing in Cloud Environment”, Int. J. Comp. Sci. Eng., vol. 4, no. 11, pp. 129–132, Nov. 2025.

Issue

Vol. 4 No. 11 (2016): IJCSE November Edition

Section

Research Article

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