Kuijia: Traffic rescaling in data center WANs

Che Zhang, Hong Xu, Libin Liu, Zhixiong Niu, Peng Wang, Yongqiang Tian, Chengchen Hu

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

Abstract

Network faults like link or switch failures can cause heavy congestion and packet loss. Traffic engineering systems need a lot of time to detect and react to such faults, which results in significant recovery times. Recent work either pre-installs a lot of backup paths in the switches to ensure fast reroute, or proactively pre-reserve bandwidth to achieve fault-resiliency. Our idea agilely reacts to failures in data plane while eliminating pre-installation of backup paths. We propose Kuijia, a robust traffic engineering system for data center WANs which relies on a novel failover mechanism in data plane called rate rescaling. The affected flows on failed tunnels are rescaled to the remaining tunnels, and enter low priority queues to avoid performance impairment of abnormal flows on remaining tunnels. Real system experiments show that Kuijia is effective in handling network faults and significantly outperforms conventional rescaling method.

Original languageEnglish
Title of host publication37th IEEE Sarnoff Symposium, Sarnoff 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages142-147
Number of pages6
ISBN (Electronic)9781509015405
DOIs
Publication statusPublished - 7 Feb 2017
Externally publishedYes
Event37th IEEE Sarnoff Symposium, Sarnoff 2016 - Newark, United States
Duration: 19 Sept 201621 Sept 2016

Publication series

Name37th IEEE Sarnoff Symposium, Sarnoff 2016

Conference

Conference37th IEEE Sarnoff Symposium, Sarnoff 2016
Country/TerritoryUnited States
CityNewark
Period19/09/1621/09/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

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