Analysis of the effectiveness of the load balancing mechanisms in Software-Defined Networking

Authors

  • O.B. Tkachova
  • Abdulghafoor Raed Yahya
  • Hassan Mohamed Muhi-Aldeen

Abstract

The paper is devoted to analysis of load balancing mechanisms in Software-Defined Networking. Software-Defined Networking has a lot of benefits, however the use of classical traffic engineering principles for traffic management in Software-Defined Network presents a problem. Analysis of the effectiveness of management mechanisms, and in particular, algorithms for network load balancing that enable to take into account the centralised structure and heterogeneous nature of traffic in software-defined networks is proposed.

References

J. W. Rittinghouse, J. F. Ransome Computing Implementation, Management, and Security. CRC Press, New York, ISBN: 978-1-4398-0680-7, 2010, 340 p.

R. M. Bryant and R. A. Finkel A Stable Distributed Scheduling Algorithm in Proc. 2nd Int. Conf. Dist. Comp., pp. 341-323.

B. Godfrey, K. Lakshminarayanan, S. Surana, R. Karp and I. Stoica Load Balancing in Dynamic Structured P2P Systems // Performance Evaluation, Vol. 63, No. 3, 2006, pp. 217-240.

S. C. Wang et all. Towards a load balancing in a three level cloud computing network. Proceedings of 3rd International Conference on Computer Science and Information Technology (ICCSIT), IEEE, July, 2010, pp.108-113.

X. Ren, R. Lin, H. Zou. A dynamic load balancing strategy for cloud computing platform based on exponential smoothing forecast. International Conference on. Cloud Computing and Intelligent Systems (CCIS), IEEE. 2011, pp.220-224.

Saroj Hiran-wal, K. C. Roy. Adaptive Round Robin Scheduling using shortest burst approach based on smart time slice // International Journal of Computer Science and Communication Vol. 2, No. 2, 2010, pp. 319-323.

M. Mitzenmacher, E. Upfal. Probability and Computing: Randomized Algorithms and Probabilistic Analysis. Cambridge University Press, 2005, 110 p.

B. Yagoubi, and Y. Slimani Task Load Balancing Strategy for Grid Computing // Journal of Computer Science, Vol. 3, No. 3, 2007, pp. 186-194.

Ren X, R Lin, H Zou. A dynamic load balancing strategy for cloud computing platform based on exponential smoothing forecast. proc. International Conference on. Cloud Computing and Intelligent Systems (CCIS), IEEE, 2011, pp. 220-224.

B. Montero et all. Virtual infrastructure management in private and hybrid clouds IEEE Internet Computing, 13(5), 2009, pp.14-22.

Sandeep Sharma, Sarabjit Singh, and Meenakshi Sharma Performance Analysis of Load Balancing Algorithms // Аcademy of science, engineering and technology, issue 38, February 2008, pp.269-272.

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How to Cite

Tkachova, O., Yahya, A. R., & Muhi-Aldeen, H. M. (2016). Analysis of the effectiveness of the load balancing mechanisms in Software-Defined Networking. Radiotekhnika, 4(187), 38–42. Retrieved from http://rt.nure.ua/article/view/210814

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Articles