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Embedding Nonblocking Multicast Virtual Networks in Fat-Tree Data Centers

  • Stony Brook University

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

8 Scopus citations

Abstract

Virtualization of servers and networks is a key technique to resolve the conflict between the increasing demands on computing power and the high cost of hardware in data centers. In order to map virtual networks to physical infrastructure efficiently, designers have to make careful decisions on the allocation of limited resources, which makes network embedding in data centers a very important problem. In this paper, we tackle the network embedding problem in fat-tree data centers. To meet the requirements of instant parallel data transfer between multiple computing units, we propose a model of multicast-capable virtual networks (Mons). We then design three virtual machine (VM) placement schemes with different features for embedding MVNs into fat-tree DCNs, named Most-Vacant-Fit (MVF), Most-Compact-First (MCF) and Mixed-Bidirectional-Fill (MBF). All these VM placement schemes guarantee the no blocking multicast capability of each MVN while simultaneously achieving significant saving on the cost of network hardware. In addition, each VM placement scheme also has its unique features. The MVF scheme has zero interference to existing computing tasks in data centers, the MCF scheme leads to the greatest cost saving, the MBF scheme simultaneously possesses the merits of MVF and MCF, and it provides an adjustable parameter allowing cloud providers to achieve preferred balance between the cost and the overhead. Finally, we compare the performance and overhead of these VM placement schemes, and present simulation results to validate our theoretical results.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 29th International Parallel and Distributed Processing Symposium, IPDPS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages123-132
Number of pages10
ISBN (Electronic)9781479986484
DOIs
StatePublished - Jul 17 2015
Event29th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2015 - Hyderabad, India
Duration: May 25 2015May 29 2015

Publication series

NameProceedings - 2015 IEEE 29th International Parallel and Distributed Processing Symposium, IPDPS 2015

Conference

Conference29th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2015
Country/TerritoryIndia
CityHyderabad
Period05/25/1505/29/15

Keywords

  • fat-tree data center networks
  • multicast
  • network embedding
  • nonblocking
  • virtual machine placement
  • Virtualization

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