Heterogeneous Flow Table Integration for Capacity Enhancement in Software-Defined Networks

Chi Hsiang Hung, Jheng Jyun Wang, Li-Chun Wang, Kuo-Chen Wang, Chain Wu Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Commercial OpenFlow-enabled legacy switches implement flow tables with Ternary Content Addressable Memory (TCAM) to perform high speed flow matching process. However, the size of TCAM-based flow table is restricted to few thousands of entries due to manufacturing cost and high power consumption. In this paper, we propose the Flow Entry Agent which can integrate heterogeneous flow tables, such as ASIC-side MAC/IP/ACL tables and CPU-side SRAM-based tables to increase the storage capacity without modifying ASIC. Besides, the Agent will compress the CPU-side tables and perform flow matching process with these tables. Simulation results show that our Agent can not only increase the capacity of flow table to 11.38x to 65.24x but also reduce 80.99% to 87.36% of Packet In messages with additional 1 MB CPU-side SRAM.

Original languageEnglish
Title of host publication2018 International Conference on Computing, Networking and Communications, ICNC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages832-836
Number of pages5
ISBN (Electronic)9781538636527
DOIs
StatePublished - 19 Jun 2018
Event2018 International Conference on Computing, Networking and Communications, ICNC 2018 - Maui, United States
Duration: 5 Mar 20188 Mar 2018

Publication series

Name2018 International Conference on Computing, Networking and Communications, ICNC 2018

Conference

Conference2018 International Conference on Computing, Networking and Communications, ICNC 2018
CountryUnited States
CityMaui
Period5/03/188/03/18

Keywords

  • Flow Table
  • OpenFlow
  • SDN
  • Table Division

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