Scalable Load Balancing Approach for Cloud Environment


  • Anurag Jain Assistant Professor (SG), Department of Virtualization, School of Computer Science & Engineering, University of Petroleum & Energy Studies, Dehradun, Uttarakhand, India
  • Rajneesh Kumar


cloud computing, load balancing, biased random walk, scalable


Cloud computing is a combination of parallel and distributed system which aims at effective resource utilization, providing uninterrupted services all the time which adapts itself with varying number of users without much capital investment. Ubiquitous, scalability and elasticity are some of the important features of cloud computing. To maintain essential characteristics, there is a need of mechanism which distributes the load efficiently among the available resources. Load balancing means the distribution of tasks among different available resources so that no one is over or under-utilized. Scalable, adaptable, efficient and reliable are some of the desirable features of a load balancing approach.

In this paper, authors have proposed a new load balancing approach named “Weighted Biased Random Walk” for the cloud environment using the concept of biased random walk. Weighted biased random walk approach has been analytically & experimentally analyzed. It has been compared with other load balancing approaches based on biased random walk found in literature. It has been found that weighted biased random walk approach is self-adjustable, distributed, dynamic, scalable and efficient in nature. It outperforms the other load balancing approaches based upon biased random walk. Collective presence of all the desirable features makes the weighted biased random walk approach perfect load balancing approach for the cloud environment.

Author Biography

Anurag Jain, Assistant Professor (SG), Department of Virtualization, School of Computer Science & Engineering, University of Petroleum & Energy Studies, Dehradun, Uttarakhand, India

Anurag Jain is working as Associate Professor, Department of Virtualization, School of Computer Science & Engineering, University of Petroleum & Energy Studies, Dehradun, Uttarakhand, India. He is in teaching field since 2003. He received his B. Tech. & M.Tech. degree from Kurukshetra University, Kurukshetra, India, in 2003 and 2009, respectively. He has guided 7 M. Tech. students. He has about 15 publications in International Journals and Conferences. Currently, he is pursuing Ph.D. from M, M, University Mullana Ambala in the area of cloud computing. His research interests are in the areas of load balancing & security in Cloud Computing. His email id is


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How to Cite

A. Jain and R. Kumar, “Scalable Load Balancing Approach for Cloud Environment”, Int. j. eng. technol. innov., vol. 7, no. 4, pp. 292–307, Sep. 2017.