File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)

Article: LBFA: a load-balanced and fragmentation-aware resource allocation algorithm in space-division multiplexing elastic optical networks

TitleLBFA: a load-balanced and fragmentation-aware resource allocation algorithm in space-division multiplexing elastic optical networks
Authors
KeywordsElastic optical networks
Fragmentation
Load balance
Space-division multiplexing
Issue Date19-Oct-2021
PublisherMDPI
Citation
Photonics, 2021, v. 8, n. 10 How to Cite?
Abstract

We consider a space-division multiplexing elastic optical network (SDM-EON) that supports super-channels (SChs). A Sch comprises a set of contiguous frequency slots on multiple cores in a multi-core fiber. The problem of finding a lightpath using SChs involves routing, modulation, spectrum and core assignment (RMSCA). To minimize the request blocking probability (RBP), two critical issues must be addressed. First, routing and modulation assignment (RMA) should not cause hotspots, or overutilized links. Second, spectrum and core assignment (SCA) should aim at minimizing fragmentation, or small frequency slot blocks that can hardly be utilized by future requests. In this paper, a pre-computation method is first proposed for better load balancing in RMA. Then an efficient fragmentation-aware SCA is proposed based on a new fragmentation metric that measures both the spectral and spatial fragmentation. With the enhanced RMA and SCA, a joint load-balanced and fragmentation-aware algorithm called LBFA is designed to solve the RMSCA problem. As compared with the existing algorithms, simulation results show that our LBFA provides significant reduction in RBP.


Persistent Identifierhttp://hdl.handle.net/10722/339792
ISSN
2021 Impact Factor: 2.536
2020 SCImago Journal Rankings: 0.669

 

DC FieldValueLanguage
dc.contributor.authorZhang, Shengyu-
dc.contributor.authorYeung, Kwan L-
dc.contributor.authorJin, A-Long-
dc.date.accessioned2024-03-11T10:39:21Z-
dc.date.available2024-03-11T10:39:21Z-
dc.date.issued2021-10-19-
dc.identifier.citationPhotonics, 2021, v. 8, n. 10-
dc.identifier.issn2304-6732-
dc.identifier.urihttp://hdl.handle.net/10722/339792-
dc.description.abstract<p>We consider a space-division multiplexing elastic optical network (SDM-EON) that supports super-channels (SChs). A Sch comprises a set of contiguous frequency slots on multiple cores in a multi-core fiber. The problem of finding a lightpath using SChs involves routing, modulation, spectrum and core assignment (RMSCA). To minimize the request blocking probability (RBP), two critical issues must be addressed. First, routing and modulation assignment (RMA) should not cause hotspots, or overutilized links. Second, spectrum and core assignment (SCA) should aim at minimizing fragmentation, or small frequency slot blocks that can hardly be utilized by future requests. In this paper, a pre-computation method is first proposed for better load balancing in RMA. Then an efficient fragmentation-aware SCA is proposed based on a new fragmentation metric that measures both the spectral and spatial fragmentation. With the enhanced RMA and SCA, a joint load-balanced and fragmentation-aware algorithm called LBFA is designed to solve the RMSCA problem. As compared with the existing algorithms, simulation results show that our LBFA provides significant reduction in RBP.<br></p>-
dc.languageeng-
dc.publisherMDPI-
dc.relation.ispartofPhotonics-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectElastic optical networks-
dc.subjectFragmentation-
dc.subjectLoad balance-
dc.subjectSpace-division multiplexing-
dc.titleLBFA: a load-balanced and fragmentation-aware resource allocation algorithm in space-division multiplexing elastic optical networks-
dc.typeArticle-
dc.identifier.doi10.3390/photonics8100456-
dc.identifier.scopuseid_2-s2.0-85118254039-
dc.identifier.volume8-
dc.identifier.issue10-
dc.identifier.eissn2304-6732-
dc.identifier.issnl2304-6732-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats