T-trail: Link failure monitoring in software-defined optical networks

Cheng, Z; Zhang, X; Shen, S; Yu, S; Ren, J; Lin, R

T-trail: Link failure monitoring in software-defined optical networks

Cheng, Z Zhang, X Shen, S Yu, S

Ren, J Lin, R

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Publisher:: Optica Publishing Group
Publication Type:: Journal Article
Citation:: Journal of Optical Communications and Networking, 2018, 10, (4), pp. 344-352
Issue Date:: 2018-04-01

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Field	Value	Language
dc.contributor.author	Cheng, Z
dc.contributor.author	Zhang, X
dc.contributor.author	Shen, S
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743
dc.contributor.author	Ren, J
dc.contributor.author	Lin, R
dc.date.accessioned	2022-08-28T22:12:38Z
dc.date.available	2022-08-28T22:12:38Z
dc.date.issued	2018-04-01
dc.identifier.citation	Journal of Optical Communications and Networking, 2018, 10, (4), pp. 344-352
dc.identifier.issn	1943-0620
dc.identifier.issn	1943-0639
dc.identifier.uri	http://hdl.handle.net/10453/160968
dc.description.abstract	Monitoring trail (m-trail) provides a striking mechanism for fast and unambiguous link failure localization in all-optical networks. However, allocating dedicated supervisory lightpaths (m-trail) undoubtedly increases total network cost. Accordingly, how to maximally reduce monitoring cost in an optical network is an important issue. To this end, we propose a concept of traffic trail (t-trail) that uses traffic lightpaths, instead of dedicated supervisory lightpaths, to localize a single link failure in the context of a software-defined optical network (SDON). The central controller of an SDON collects routing information of all t-trails in the network. Thus, any link failure can be localized according to the ON-OFF status of the traversing t-trails. We first formulate the problem as an integer linear programming (ILP) model. Since the ILP is not feasible for solving the problem in large-size networks, an efficient heuristic algorithm t-trail allocation (TTA) is proposed to address it. We conduct extensive simulations to evaluate the performance of TTA. The results show that compared with the existing m-trail schemes, TTA can reduce total costs by 20.91% on average.
dc.language	English
dc.publisher	Optica Publishing Group
dc.relation.ispartof	Journal of Optical Communications and Networking
dc.relation.isbasedon	10.1364/JOCN.10.000344
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering, 0915 Interdisciplinary Engineering, 1005 Communications Technologies
dc.title	T-trail: Link failure monitoring in software-defined optical networks
dc.type	Journal Article
utslib.citation.volume	10
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0915 Interdisciplinary Engineering
utslib.for	1005 Communications Technologies
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2022-08-28T22:12:38Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	10
utslib.citation.issue	4

Abstract:

Monitoring trail (m-trail) provides a striking mechanism for fast and unambiguous link failure localization in all-optical networks. However, allocating dedicated supervisory lightpaths (m-trail) undoubtedly increases total network cost. Accordingly, how to maximally reduce monitoring cost in an optical network is an important issue. To this end, we propose a concept of traffic trail (t-trail) that uses traffic lightpaths, instead of dedicated supervisory lightpaths, to localize a single link failure in the context of a software-defined optical network (SDON). The central controller of an SDON collects routing information of all t-trails in the network. Thus, any link failure can be localized according to the ON-OFF status of the traversing t-trails. We first formulate the problem as an integer linear programming (ILP) model. Since the ILP is not feasible for solving the problem in large-size networks, an efficient heuristic algorithm t-trail allocation (TTA) is proposed to address it. We conduct extensive simulations to evaluate the performance of TTA. The results show that compared with the existing m-trail schemes, TTA can reduce total costs by 20.91% on average.

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http://hdl.handle.net/10453/160968