Periodic Subflow-based Proactive Flow Installation Mechanism in SDN-based IoT

Yun Zhan Cai, Shao Ku Tien, Yu Ting Wang, Meng Hsun Tsai

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

1 Citation (Scopus)

Abstract

Software-defined Network (SDN) is considered as a promising technology to provide a flexible network for 5G. However, as the resource of flow entries in switches is limited in SDN, a novel flow management method is required when facing massive amounts of IoT devices. To the best of our knowledge, existing methods designed for IoT can only be applied to uncomplicated network environments without multiple periodic traffic flows. In this paper, we propose Periodic Subflowbased Proactive Flow Installation Mechanism (PSPFIM), a more widely applicable method with better performance. Compared to related works, we improve the hit ratio by 45% and installation efficiency by 6.19 times according to results of simulations, which means PSPFIM can reduce the average network latency with even less flow entries.

Original languageEnglish
Title of host publication2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728182988
DOIs
Publication statusPublished - 2020 Dec
Event2020 IEEE Global Communications Conference, GLOBECOM 2020 - Virtual, Taipei, Taiwan
Duration: 2020 Dec 72020 Dec 11

Publication series

Name2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings

Conference

Conference2020 IEEE Global Communications Conference, GLOBECOM 2020
CountryTaiwan
CityVirtual, Taipei
Period20-12-0720-12-11

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Modelling and Simulation
  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software
  • Safety, Risk, Reliability and Quality

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