A multi-objective software defined network traffic measurement
| Autor: | Nor Badrul Anuar, Rosli Salleh, Kim-Kwang Raymond Choo, Ryan Izard, Suleman Khan, Hamid Tahaei |
|---|---|
| Přispěvatelé: | Tahaei, Hamid, Salleh, Rosli, Khan, Suleman, Izard, Ryan, Choo, Kim-Kwang Raymond, Anuar, Nor Badrul |
| Rok vydání: | 2017 |
| Předmět: |
network monitoring
software defined measurement Computer science business.industry Applied Mathematics Distributed computing Real-time computing 020206 networking & telecommunications 02 engineering and technology Network monitoring Condensed Matter Physics Network traffic control Network traffic simulation Network simulation Network management Control theory software defined networking 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Electrical and Electronic Engineering business Software-defined networking Instrumentation Traffic generation model |
| Zdroj: | Measurement. 95:317-327 |
| ISSN: | 0263-2241 |
| DOI: | 10.1016/j.measurement.2016.10.026 |
| Popis: | 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. Refereed/Peer-reviewed |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect