@inproceedings{86710659f0b843d8988f184b84eaf0ea,
title = "Heterogeneous Flow Table Integration for Capacity Enhancement in Software-Defined Networks",
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.",
keywords = "Flow Table, OpenFlow, SDN, Table Division",
author = "Hung, {Chi Hsiang} and Wang, {Jheng Jyun} and Li-Chun Wang and Kuo-Chen Wang and Lee, {Chain Wu}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Computing, Networking and Communications, ICNC 2018 ; Conference date: 05-03-2018 Through 08-03-2018",
year = "2018",
month = jun,
day = "19",
doi = "10.1109/ICCNC.2018.8390421",
language = "English",
series = "2018 International Conference on Computing, Networking and Communications, ICNC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "832--836",
booktitle = "2018 International Conference on Computing, Networking and Communications, ICNC 2018",
address = "美國",
}