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SDN-Enabled Resiliency in Computer Networks
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013).ORCID-id: 0000-0001-7358-8675
2018 (Engelska)Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
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.

Ort, förlag, år, upplaga, sidor
Karlstad: Karlstads universitet, 2018. , s. 24
Serie
Karlstad University Studies, ISSN 1403-8099 ; 2018:17
Nyckelord [en]
networking, sdn, openflow, resiliency, icn, mmwave, 5g, wlan
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-66992ISBN: 978-91-7063-848-0 (tryckt)ISBN: 978-91-7063-943-2 (tryckt)OAI: oai:DiVA.org:kau-66992DiVA, id: diva2:1197352
Presentation
2018-05-11, 1B 309 Sjöström, Universitetsgatan 2, Karlstad, 10:15 (Engelska)
Opponent
Handledare
Tillgänglig från: 2018-04-20 Skapad: 2018-04-12 Senast uppdaterad: 2018-04-30Bibliografiskt granskad
Delarbeten
1. QoS Enabled WiFi MAC Layer Processing as an Example of a NFV Service
Öppna denna publikation i ny flik eller fönster >>QoS Enabled WiFi MAC Layer Processing as an Example of a NFV Service
2015 (Engelska)Ingår i: Network Softwarization (NetSoft), 2015 1st IEEE Conference on, IEEE, 2015, s. 1-9Konferensbidrag, Publicerat paper (Refereegranskat)
Ort, förlag, år, upplaga, sidor
IEEE, 2015
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-38735 (URN)10.1109/NETSOFT.2015.7116164 (DOI)000380562800045 ()
Konferens
1st IEEE Conference on Network Softwarization (NetSoft), 13-17 April 2015, London
Tillgänglig från: 2015-11-27 Skapad: 2015-11-27 Senast uppdaterad: 2019-12-12Bibliografiskt granskad
2. Resilient Software Defined Networking for Industrial Control Networks
Öppna denna publikation i ny flik eller fönster >>Resilient Software Defined Networking for Industrial Control Networks
2015 (Engelska)Ingår i: 2015 10th International Conference on Information, Communications and Signal Processing (ICICS), IEEE, 2015Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
IEEE, 2015
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-38748 (URN)10.1109/ICICS.2015.7459981 (DOI)000381754800168 ()978-1-4673-7216-9 (ISBN)
Konferens
ICICS 2015 - The 10th International Conference on Information, Communications and Signal Processing, December 2-4 2015, Singapore.
Forskningsfinansiär
KK-stiftelsen, READY
Tillgänglig från: 2015-11-27 Skapad: 2015-11-27 Senast uppdaterad: 2019-12-12Bibliografiskt granskad
3. Low frequency assist for mmWave backhaul - the case for SDN resiliency mechanisms
Öppna denna publikation i ny flik eller fönster >>Low frequency assist for mmWave backhaul - the case for SDN resiliency mechanisms
2017 (Engelska)Ingår i: Communications Workshops (ICC Workshops), 2017 IEEE International Conference on, IEEE, 2017Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

In 5G, network densification is a major concern for operators. When a massive amount of small cells are deployed, the backhaul capacity is crucial and researchers are exploring the use of high frequency bands such as 28, 60 or even 140 GHz because of the large portion of spectrum that is available. Unfortunately, such mmWave links frequently change their capacity due to blocking and weather phenomena which makes it challenging to design stable multihop backhaul networks using those frequency bands. In this paper, we investigate the use of Software Defined Networking (SDN) for the operation and control of wireless backhaul networks. We explore different ways how SDN resiliency mechanisms such as FastFailover Groups can be used to mitigate disruptive connectivity in the multihop operation due to mmWave links frequently failing. We also demonstrate a clear benefit for using low frequency assist mode, where the small cell has an additional stable LTE uplink to the eNB that is used should the mmWave backhaul links fail. Our experiments using a network emulator show that such SDN based local repair mechanisms can significantly reduce the packet loss rate inside the mmWave backhaul mesh, which can be further reduced with an LTE assisted Failover.

Ort, förlag, år, upplaga, sidor
IEEE, 2017
Serie
IEEE/CIC International Conference on Communications in China - Workshops (CIC/ICCC), ISSN 2474-9133
Nyckelord
5G mobile communication, Long Term Evolution, software defined networking, telecommunication network reliability
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-65609 (URN)10.1109/ICCW.2017.7962658 (DOI)000464321500035 ()978-1-5090-1526-9 (ISBN)978-1-5090-1525-2 (ISBN)
Konferens
IEEE International Conference on Communications Workshops (ICC Workshops), 21-25 May 2017. Paris, France
Tillgänglig från: 2018-01-15 Skapad: 2018-01-15 Senast uppdaterad: 2019-12-12Bibliografiskt granskad

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