Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/10076
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Panayiotou, Tania | - |
dc.contributor.author | Chatzis, Sotirios P. | - |
dc.contributor.author | Ellinas, Georgios | - |
dc.date.accessioned | 2017-05-17T09:09:10Z | - |
dc.date.available | 2017-05-17T09:09:10Z | - |
dc.date.issued | 2017-01 | - |
dc.identifier.citation | Journal of Optical Communications and Networking, 2017, vol. 9, no. 1, pp. 98-108 | en_US |
dc.identifier.issn | 19430620 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/10076 | - |
dc.description.abstract | The performance of a data-driven qualityof- transmission (QoT) model is investigated on a dynamic metro optical network capable of supporting both unicast and multicast connections. The data-driven QoT technique analyzes data of previous connection requests and, through a training procedure that is performed on a neural network, returns a data-driven QoT model that nearaccurately decides the QoT of the newly arriving requests. The advantages of the data-driven QoT approach over the existing Q-factor techniques are that it is self-adaptive, it is a function of data that are independent from the physical layer impairments (PLIs) eliminating the requirement of specific measurement equipment, and it does not assume the existence of a system with extensive processingandstorage capabilities. Further, it is fast in processing new data and fast in finding a near-accurateQoT model provided that such a model exists. On the contrary, existing Q-factor models lack self-adaptiveness; they are a function of the PLIs, and their evaluation requires time-consuming simulations, lab experiments, specific measurement equipment, and considerable human effort. It is shown that the data-driven QoT model exhibits a high accuracy (close to 92%-95%) in determining, during the provisioning phase, whether a connection to be established has a sufficient (or insufficient) QoT, when compared with the QoT decisions performed by the Q-factor model. It is also shown that, when sufficient wavelength capacity is available in the network, the network performance is not significantly affected when the data-driven QoT model is used for the dynamic system instead of the Q-factor model, which is an indicator that the proposed approach can efficiently replace the existing Q-factor model. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Journal of Optical Communications and Networking | en_US |
dc.rights | © OSA | en_US |
dc.subject | All optical networks | en_US |
dc.subject | Multicast routing | en_US |
dc.subject | Quality of transmission | en_US |
dc.subject | Neural networks | en_US |
dc.title | Performance analysis of a data-driven quality-of-transmission decision approach on a dynamic multicast- capable metro optical network | en_US |
dc.type | Article | en_US |
dc.collaboration | University of Cyprus | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.journals | Subscription | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1364/JOCN.9.000098 | en_US |
dc.relation.issue | 1 | en_US |
dc.relation.volume | 9 | en_US |
cut.common.academicyear | 2016-2017 | en_US |
dc.identifier.spage | 98 | en_US |
dc.identifier.epage | 108 | en_US |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.cerifentitytype | Publications | - |
item.openairetype | article | - |
crisitem.journal.journalissn | 1943-0639 | - |
crisitem.journal.publisher | Optical Society of America | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-4956-4013 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Άρθρα/Articles |
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