A Low-Cost Measurement Framework in Software Defined Networks - International Journal of Communications, Network and System Sciences

IJCNS > Vol.10 No.5, May 2017

A Low-Cost Measurement Framework in Software Defined Networks ()

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DOI: 10.4236/ijcns.2017.105B006 1,126 Downloads 2,349 Views Citations

Author(s)

Qiang He, Shengbao Wang

Affiliation(s)

School of Computer Science and Engineering, Northeastern University, Shenyang, China.

ABSTRACT

Software Defined Network (SDN) makes network management more flexible by separating control plane and data plane, centralized control and being programmable. Although, network measurement still remains in primary stage in SDN, it has become an essential research field in SDN management. In this context, this paper presents a low-cost high-accuracy measurement framework to support various network measurement tasks, such as throughput, delay and packet loss rate. In this framework, we only measure per-flow edge switches (the first and the last switches). In addition, a new adaptive sampling algorithm is proposed to significantly improve measurement accuracy and decrease network overhead. Meanwhile, we consider a low-cost topology discovery approach into our framework instead of topology discovery currently implemented by SDN controller frameworks. In order to improve the accuracy of delay, we also join a time threshold value to adjust the time delay. Furthermore, we consider and analyze the balance between measurement overhead and accuracy in several aspects. Last, we utilize POX controller to implement the proposed measurement framework. The effectiveness of our solution is demonstrated through simulations in Mininet and Matlab.

KEYWORDS

Software Defined Network, Adaptive Sampling, POX Controller, OpenLL

Share and Cite:

He, Q. and Wang, S. (2017) A Low-Cost Measurement Framework in Software Defined Networks. International Journal of Communications, Network and System Sciences, 10, 54-66. doi: 10.4236/ijcns.2017.105B006.

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