Kuijia : Traffic rescaling in data center WANs

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

2 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationThe 37th IEEE Sarnoff Symposium
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages142-147
ISBN (electronic)978-1-5090-1539-9
ISBN (print)9781509015405
Publication statusPublished - Sept 2016

Conference

TitleThe 37th IEEE Sarnoff Symposium (Sarnoff 2016)
PlaceUnited States
CityNewark
Period19 - 21 September 2016

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.

Citation Format(s)

Kuijia: Traffic rescaling in data center WANs. / Zhang, Che; Xu, Hong; Liu, Libin et al.
The 37th IEEE Sarnoff Symposium. Institute of Electrical and Electronics Engineers, Inc., 2016. p. 142-147 7846744.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review