CREDIT BASED LOAD BALANCING IN CLOUD ENVIRONMENT: A REVIEW

  • Jagdeep Singh Research Scholar, Department of Computer Science & Engineering, SBSSTC, Ferozepur, Punjab.
  • Mr. Pawan Luthra Assistant Professor, Department of Computer Science & Engineering, SBSSTC, Ferozepur, Punjab.
Keywords: Cloud Computing, Load Balacing, Virtual Machine, Data Center, Data Center Broker.

Abstract

In present days cloud computing is one of the greatest platform which provides storage of data in very lower cost and available for all time over the internet.But it has more critical issue like security, load management and fault tolerance. In this paper we are discussing Load Balancing approach. Many types of load concern with cloud like memory load, CPU load and network load. Load balancing is the process of distributing load over the different nodes which provides good resource utilization when nodes are overloaded with job. Load balancing has to handle the load when one node is overloaded. When node is overloaded at that time load is distributed over the other ideal nodes. Many algorithms are available for load balancing like Static load balancing and Dynamic load balancing.

References

[1] Wu, H.-S., Wang, C.-J., and Xie, J.-Y. (2013a). Terascaler elb-an algorithm of predictionbased elastic load balancing resource management in cloud computing. In Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on, pages 649-654. IEEE.
[2] Wu, X., Deng, M., Zhang, R., Zeng, B., and Zhou, S. (2013b). A task scheduling algorithm based on qos-driven in cloud computing. Procedia Computer Science, 17:1162-1169.
[3] Sharma, A. and Peddoju, S. K. (2014). Response time based load balancing in cloud computing. In Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on, pages 1287-1293. IEEE.
[4] Ren, H., Lan, Y., and Yin, C. (2012). The load balancing algorithm in cloud computing environment. In Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on, pages 925-928. IEEE.
[5] Raju, R., Amudhavel, J., Kannan, N., and Monisha, M. (2014). A bio inspired energy-aware multi objective chiropteran algorithm (eamoca) for hybrid cloud computing environment. In Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on, pages 1-5. IEEE.
[6] Mesbahi, M., Rahmani, A. M., and Chronopoulos, A. T. (2014). Cloud light weight: A new solution for load balancing in cloud computing. In Data Science & Engineering (ICDSE), 2014 International Conference on, pages 44-50. IEEE.
[7] Domanal, S. G. and Reddy, G. R. M. (2013). Load balancing in cloud computingusing modified throttled algorithm In Cloud Computing in Emerging Markets (CCEM), 2013 IEEE International Conference on, pages 1-5. IEEE.
[8] Domanal, S. G. and Reddy, G. R. M. (2014). Optimal load balancing in cloud computing by efficient utilization of virtual machines. In Communication Systems and Networks (COMSNETS), 2014 Sixth International Conference on, pages 1-4. IEEE.
[9] Delavar, A. G. and Aryan, Y. (2014). Hsga: a hybrid heuristic algorithm for work flow scheduling in cloud systems. Cluster computing, 17(1):129-137.
Published
2016-08-24
How to Cite
Singh, J., & Luthra, M. P. (2016). CREDIT BASED LOAD BALANCING IN CLOUD ENVIRONMENT: A REVIEW. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 15(12), 7258-7262. Retrieved from https://cirworld.com/index.php/ijct/article/view/4499
Section
Articles