Achieving bandwidth guarantees in multi-tenant cloud networks using a dual-hose model

Meng Shen*, Lixin Gao, Ke Xu, Liehuang Zhu

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

In public cloud networks, applications of different tenants compete for the shared network bandwidth and thus might suffer from unpredictable performance. It is desirable for cloud providers to offer tenants with bandwidth guarantees. However, it is challenging to precisely abstract tenant bandwidth requirements for their intra- and inter-tenant communications and to achieve work conservation simultaneously. In this paper, we first propose a dual-hose model, a novel tenant requirement abstraction that decouples bandwidth guarantees for a tenant's inter-tenant communications from those for its intra-tenant communications. We then develop a new VM placement algorithm to optimize operational goals of cloud providers, while providing tenants with minimum bandwidth guarantees captured by the dual-hose model. Finally, we design a dynamic bandwidth allocation strategy to achieve work conservation. Through extensive simulation results, we show that our solution provides bandwidth guarantees for tenant requests while improving the overall request throughput by 5.3%.

Original languageEnglish
Title of host publication2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479975754
DOIs
Publication statusPublished - 20 Jan 2015
Event33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014 - Austin, United States
Duration: 5 Dec 20147 Dec 2014

Publication series

Name2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014

Conference

Conference33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014
Country/TerritoryUnited States
CityAustin
Period5/12/147/12/14

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