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Performance of Network Redundancy Mechanisms in SCTP
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. Karlstad University, Faculty of Economic Sciences, Communication and IT, Centre for HumanIT.
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. Karlstad University, Faculty of Economic Sciences, Communication and IT, Centre for HumanIT.
2005 (English)Report (Refereed)
Abstract [en]

One of the ambitions when designing the Stream Control Transmission Protocol was to offer a robust transfer of traffic between hosts. For this reason SCTP was designed to support multihoming, which presumes the possibility to set up several paths between the same hosts in the same session. If the primary path between a source machine and a destination machine breaks down, the traffic may still be sent to the destination, by utilizing one of the alternate paths. The failover that occurs when changing path is to be transparent to the application.



This paper describes the results from an experiment concerning SCTP failover performance, which means the time between occurrence of a break on the primary path until the traffic is run smoothly on the alternate path. The experiment is performed mainly to verify the Linux Kernel implementation of SCTP (LK-SCTP) and is run on the Emulab platform. The results will serve as a basis for further experiments.



The experiment is performed in a network without concurrent traffic and in conclusion the results from the experiment correspond well to the values found in other studies and they are close to the theoretical best values. As expected the parameter Path.Max.Retrans has a great impact on the failover time. One observation is that the failover time and the max transfer time for a message are dependent upon the status in the network when the break of the primary path occurs.

Place, publisher, year, edition, pages
2005.
Keyword [en]
SCTP, failover, performance measurement
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-22336ISBN: 9170630194OAI: oai:DiVA.org:kau-22336DiVA: diva2:596013
Available from: 2013-01-21 Created: 2013-01-21 Last updated: 2013-01-21

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http://www.cs.kau.se/~johane/forskning/rapport_2005_48.pdf

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Eklund, JohanBrunström, Anna
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