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Compressive Traffic Monitoring in Hybrid SDN
- Source :
- IEEE Journal on Selected Areas in Communications. 36:2731-2743
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- Hybrid software-defined network (SDN) is a network where legacy routers and SDN routers coexist during the incremental deployment of SDNs. The existing SDN router placement methods mainly focus on maximizing the traffic engineering performance under a limited budget. Traffic engineering requires real-time link-load information. However, the latency for collecting the global link-load information can be prohibitively long in a wide area network due to the long interior gateway protocol convergence time. Inspired by the sparsity of the link load, we propose a novel compressive traffic monitoring method for collecting real-time load information of all links. In this method, the controller only needs to collect the load of a small subset of important links and then estimates the link load of the rest. The minimal number of SDN routers is placed to cover these important links. We use real-world topologies and traffic matrices to evaluate our method. Experiment results show that our method can quickly estimate the global link load at an error rate of 5% within sub-seconds. Compared with the state-of-the-art methods, our method has better adaptability to the dynamic traffic changes and can reduce the maximal link usage by 39%.
- Subjects :
- Routing protocol
Router
Computer Networks and Communications
business.industry
Computer science
020206 networking & telecommunications
02 engineering and technology
Network topology
Traffic engineering
Wide area network
Scalability
Convergence (routing)
Interior gateway protocol
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Electrical and Electronic Engineering
business
Software-defined networking
Computer network
Subjects
Details
- ISSN :
- 15580008 and 07338716
- Volume :
- 36
- Database :
- OpenAIRE
- Journal :
- IEEE Journal on Selected Areas in Communications
- Accession number :
- edsair.doi...........54b5129bdf5fa9020c0f5f341301b756