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Availability aspects of self-healing optical nodes designed by architecture on demand
KTH, Skolan för informations- och kommunikationsteknik (ICT), Kommunikationssystem, CoS, Optical Network Laboratory (ON Lab). University of Zagreb, Croatia .ORCID-id: 0000-0001-5600-3700
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2014 (Engelska)Ingår i: International Conference on Transparent Optical Networks, 2014Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The paper demonstrates the concept of optical networks with nodes implemented by the architecture on demand (AoD) and proposes a procedure for finding out possible benefits of AoD application, related to node and network availability. AoD node structure enables efficient failure management by creating a set of redundant components, which can be used for self-healing of optical nodes after failure. Availability evaluation procedure is based on Monte Carlo simulation of times to failure/repair of network components. A case study network with AoD nodes is compared to the network with hard-wired nodes in regard to availability performance, and results are presented.

Ort, förlag, år, upplaga, sidor
2014.
Serie
International Conference on Transparent Optical Networks, ISSN 2162-7339 ; 6876448
Nyckelord [en]
Architecture on demand, Availability, Failures, Monte carlo simulation, Optical nodes, Self-healing, Failure (mechanical), Monte Carlo methods, Transparent optical networks, Failure management, Hard-Wired, Network availability, Node structures, On demands, Network architecture
Nationell ämneskategori
Telekommunikation
Identifikatorer
URN: urn:nbn:se:kth:diva-167614DOI: 10.1109/ICTON.2014.6876448ISI: 000346516400184Scopus ID: 2-s2.0-84906752945ISBN: 9781479956005 (tryckt)OAI: oai:DiVA.org:kth-167614DiVA, id: diva2:813996
Konferens
16th International Conference on Transparent Optical Networks, ICTON 2014, 6 July 2014 - 10 July 2014, Graz
Anmärkning

QC 20150525

Tillgänglig från: 2015-05-25 Skapad: 2015-05-22 Senast uppdaterad: 2015-05-25Bibliografiskt granskad

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Furdek, Marija
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Optical Network Laboratory (ON Lab)
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