ERIC: Economical & reconfigurable hybrid-band control for software-defined datacenter network

Cheng Suo, I. Chen Tsai, Charles H.P. Wen

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

3 Scopus citations

Abstract

Datacenter networks (particularly, in clouds) nowadays support varieties of services from customers, and a novel paradigm, Software Defined Networking (SDN), is proposed to offer flexible application-aware management of these networks. However, as networks keep scaling up, many difficulties arise. Unlike prior studies on the data plane in SDN, this paper investigates the increasing complexity from deploying the control plane and proposes a novel economical and reconfigurable hybrid-band control mechanism (named ERIC) for large-scale SDN networks. Comparing to the state-of-the-art control mechanism (out-of-band), ERIC is much simpler and provides more reliability. Moreover, the number of switches used in the ERIC control plane is only 25% of that in the out-of-band control plane with 9% throughput differences. As a result, ERIC is proven suitable for datacenters due to low cost and high flexibility and can be applied to large-scale network deployments.

Original languageEnglish
Title of host publication30th International Conference on Information Networking, ICOIN 2016
PublisherIEEE Computer Society
Pages214-219
Number of pages6
ISBN (Electronic)9781509017249
DOIs
StatePublished - 7 Mar 2016
Event30th International Conference on Information Networking, ICOIN 2016 - Kota Kinabalu, Malaysia
Duration: 13 Jan 201615 Jan 2016

Publication series

NameInternational Conference on Information Networking
Volume2016-March
ISSN (Print)1976-7684

Conference

Conference30th International Conference on Information Networking, ICOIN 2016
CountryMalaysia
CityKota Kinabalu
Period13/01/1615/01/16

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    Suo, C., Tsai, I. C., & Wen, C. H. P. (2016). ERIC: Economical & reconfigurable hybrid-band control for software-defined datacenter network. In 30th International Conference on Information Networking, ICOIN 2016 (pp. 214-219). [7427117] (International Conference on Information Networking; Vol. 2016-March). IEEE Computer Society. https://doi.org/10.1109/ICOIN.2016.7427117