Design and implementation of an adaptive flow measurement for SDN-based cellular core networks

Pang Wei Tsai, Nian Xia, Chun Yu Hsu, Shu Wei Lee, Chu Sing Yang, Te Lung Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Network traffic measurement plays a vital role in network monitoring and management. At present, software-defined networking (SDN) has deeply changed the traditional computer network architecture, providing flexibility as well as scalability in network management. However, measurement of cellular core networks is still challenging due to the complexity and stringent requirements of cellular systems. To monitor SDN-based cellular core networks, an adaptive SDN-based flow measurement method is proposed. With the enrichment of diverse IoT applications, we also design an IoT QoS Provider tailored for IoT traffic. In addition, practical approaches are presented to justify our method and experimental results demonstrate the efficiency of our approach.

Original languageEnglish
Title of host publicationProceedings - 2018 15th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages179-184
Number of pages6
ISBN (Electronic)9781538685341
DOIs
Publication statusPublished - 2019 Feb 5
Event15th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2018 - Yichang, China
Duration: 2018 Oct 162018 Oct 18

Publication series

NameProceedings - 2018 15th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2018

Conference

Conference15th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2018
CountryChina
CityYichang
Period18-10-1618-10-18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Media Technology

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