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Resilient Software Defined Networking for Industrial Control Networks
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (DISCO)ORCID iD: 0000-0001-7358-8675
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. (DISCO)ORCID iD: 0000-0002-9446-8143
ABB Corp Res, Västerås, Sweden.
2015 (English)In: 2015 10th International Conference on Information, Communications and Signal Processing (ICICS), IEEE conference proceedings, 2015Conference paper, Published paper (Refereed)
Abstract [en]

Software Defined Networking (SDN) is currently a hot topic in the area of Datacenter Networking or Enterprise Networks as it has the promise to radically simplify network management and operation. However, it has not been considered so far as a promising candidate for Industrial Control Networks mainly because of the deterministic performance requirements and the dedicated design of those networks to fulfil strict performance guarantees. In this paper, we propose a resilient SDN based architecture for Industrial Control Networks and show that by combining several SDN based fast failover technologies using per-link Bidirectional Forwarding Detection (BFD), preconfigured primary and backup paths and flexible packet duplication orchestrated by an SDN controller, we can reduce significantly the control latency and provide more stringent performance guarantees even under lossy and failing links.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2015.
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-38748DOI: 10.1109/ICICS.2015.7459981ISI: 000381754800168ISBN: 978-1-4673-7216-9 (print)OAI: oai:DiVA.org:kau-38748DiVA, id: diva2:874786
Conference
ICICS 2015 - The 10th International Conference on Information, Communications and Signal Processing, December 2-4 2015, Singapore.
Funder
Knowledge Foundation, READYAvailable from: 2015-11-27 Created: 2015-11-27 Last updated: 2018-04-12Bibliographically approved
In thesis
1. SDN-Enabled Resiliency in Computer Networks
Open this publication in new window or tab >>SDN-Enabled Resiliency in Computer Networks
2018 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

In computer networking, failures, such as breaking equipment, cable cuts, power failures and human errors continuously cause communication interruptions. Such failures may result in dissatisfied customers, loss of product reputation, violation of SLAs and even critical failures in industrial systems. SDN, which logically centralizes the control plane, is an emerging technology in computer networking. The global view provided by the SDN controller can be used to reconfigure the network in case of a link failure. However, this reconfiguration may take too long for high availability networks. With the introduction of proactive link repair, backup paths are preinstalled in the forwarding devices, reducing path recovery time.

This thesis addresses the usage of SDN to provide resiliency in high availability networks. First, we consider how SDN can be used for increasing the reliability of ICNs. Second, we investigate how similar technologies could be applied to deal with fast channel attenuation and resulting outage in mmWave backhaul networks. Finally, we look at CloudMAC-based Wireless LAN, and how SDN-enabled QoS improvements could improve connection reliability.

Abstract [en]

In computer networking, failures, such as breaking equipment, cable cuts, power failures and human errors continuously cause communication interruptions. Such failures may result in dissatisfied customers, loss of product reputation, violation of Service Level Agreements and even critical failures in industrial systems. Recently, the concept of Software Defined Networking (SDN) was introduced. SDN opens up and centralizes the control plane, which allows designing networks more resilient to failures.

In this thesis, we address the usage of SDN in order to provide resiliency in high availability networks. First, we consider how SDN enabled, proactive failure recovery can be used to provide the reliability required in Industrial Control Networks (ICNs). We also investigate how the same approach could be applied to mmWave backhaul networks to cope with fast channel attenuation and the resulting outage. Through extensive experiments, we can demonstrate an increase in reliability for both ICNs and mmWave backhaul networks. Second, we look at CloudMAC-based Wireless LAN, and how SDN-enabled traffic control algorithms could improve connection reliability. Through our experiments we can show that both discriminatory and non-discriminatory algorithms significantly increase the connection reliability. In combination, these results serve to strengthen the image of SDN as a provider of resilient, high-availability networks.

Place, publisher, year, edition, pages
Karlstad: Karlstads universitet, 2018. p. 24
Series
Karlstad University Studies, ISSN 1403-8099 ; 2018:17
Keywords
networking, sdn, openflow, resiliency, icn, mmwave, 5g, wlan
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-66992 (URN)978-91-7063-848-0 (ISBN)978-91-7063-943-2 (ISBN)
Presentation
2018-05-11, 1B 309 Sjöström, Universitetsgatan 2, Karlstad, 10:15 (English)
Opponent
Supervisors
Available from: 2018-04-20 Created: 2018-04-12 Last updated: 2018-04-30Bibliographically approved

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Vestin, JonathanKassler, Andreas

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