A multi-objective software defined network traffic measurement

Hamid Tahaei, Rosli Salleh, Suleman Khan, Ryan lzard, Kim-Kwang Raymond Choo, Nor Badrul Anuar

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

Abstract

Software Defined Networking (SDN) with defining characteristics, such as “separation of data and control plane” and “centralizing network control with decision making”, has significantly simplified network management. However, active monitoring techniques used to dynamically measure network traffic introduce additional overheads in the network, while a passive approach lacks accuracy in terms of traffic measurement. As a result, various efforts have been devoted to designing per-flow based network measurement system to address both accuracy and overhead challenges. Existing measurement techniques lack a multi-objective network measurement mechanism to overcome various overheads, like communication cost, controller computation, and accuracy in a real-time environment. Therefore, this paper presents a novel and practical solution to enable accurate real-time traffic matrix for the traffic measurement system in SDN. The solution is proposed to measure fine-grained monitoring task with less controller communication and computational cost with high accuracy. The solution is based on two measurement designs, namely: fixed and elastic schemas. Our experiments demonstrate that both fixed and elastic schemas achieve significant overhead reduction without compromising on accuracy.
Original languageEnglish
Pages (from-to)317-327
Number of pages11
JournalMeasurement
Volume95
Early online date13 Oct 2016
DOIs
Publication statusPublished - 1 Jan 2017

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