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Fault-tolerance characteristics of data center network topologies using fault regions

  • Yang Liu
  • , Jogesh Muppala

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

Abstract

Data center networks (DCNs) are inherently failure-prone owing to the existence of many links, switches and servers. Many times the failures of the components may be correlated resulting a set of connected components failing together. This correlated failure behaviour could be captured through the use of fault regions [1]. This paper explores the effect of such failures in DCNs, using four topologies, viz., Fat Tree, DCell, FlatNet and BCube. We used two categories of metrics for evaluation: connection-oriented metrics, including aggregated bottleneck throughput (ABT), average path length (APL) and routing failure rate (RFR); and network size-oriented metrics, including Component Decomposition Number (CDN) and Smallest/Largest Component Size (SCS/LCS).

Original languageEnglish
Title of host publication2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2013
DOIs
Publication statusPublished - 2013
Event2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2013 - Budapest, Hungary
Duration: 24 Jun 201327 Jun 2013

Publication series

NameProceedings of the International Conference on Dependable Systems and Networks

Conference

Conference2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2013
Country/TerritoryHungary
CityBudapest
Period24/06/1327/06/13

Keywords

  • Data Center Network
  • Evaluation
  • Fault Region

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