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Implementation of a real-time network traffic monitoring service with network functions virtualization
Department of Computer Science, Tunghai University, Taichung City, Taiwan, ROC.
Artificial Intelligence Recognition Industry Service Research Center (AIR-IS Research Center), National Yunlin University of Science and Technology, Yunlin, Taiwan, ROC. College of Future, Bachelor Program in Interdisciplinary Studies, National Yunlin University of Science and Technology, Taiwan, ROC.
Department of Computer Science, Tunghai University, Taichung City, Taiwan, ROC.
Department of Computer Science, Tunghai University, Taichung City, Taiwan, ROC.
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2019 (Engelska)Ingår i: Future generations computer systems, ISSN 0167-739X, E-ISSN 1872-7115, Vol. 93, s. 687-701Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

The Network Functions Virtualization (NFV) extends the functionality provided by Software-Defined Networking (SDN). It is a virtualization technology that aims to replace the functionality provided by traditional networking hardware using software solutions. Thereby, enabling cheaper and efficient network deployment and management. The use of NFV and SDN is anticipated to enhance the performance of Infrastructure-as-a-Service (IaaS) clouds. However, due to the presence of a large number of network devices in IaaS clouds offering a plethora of networked services, there is need to develop a traffic monitoring system for the efficient network. This paper proposes and validates an extensible SDN and NFV-enabled network traffic monitoring system. Using extensive experiments, we show that the proposed system can closely match the performance of traditional networks at cheaper costs and by adding more flexibility to network management tasks.

Ort, förlag, år, upplaga, sidor
Elsevier, 2019. Vol. 93, s. 687-701
Nyckelord [en]
Software-defined networking, Network functions virtualization, OpenFlow, Virtualized switch, Network traffic monitoring
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URN: urn:nbn:se:ltu:diva-71009DOI: 10.1016/j.future.2018.08.050ISI: 000459365800054Scopus ID: 2-s2.0-85056861664OAI: oai:DiVA.org:ltu-71009DiVA, id: diva2:1251415
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Validerad;2018;Nivå 2;2018-12-03 (svasva)

Tillgänglig från: 2018-09-27 Skapad: 2018-09-27 Senast uppdaterad: 2019-03-27Bibliografiskt granskad

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