Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5237
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBhatia, Vimalen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:39:04Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:39:04Z-
dc.date.issued2018-
dc.identifier.citationSingh, P. D., Yadav, D. S., & Bhatia, V. (2018). Defragmentation based load balancing routing spectrum assignment (DLBRSA) strategy for elastic optical networks. Paper presented at the International Symposium on Advanced Networks and Telecommunication Systems, ANTS, , 2018-December doi:10.1109/ANTS.2018.8710079en_US
dc.identifier.isbn9781538681343-
dc.identifier.issn2153-1684-
dc.identifier.otherEID(2-s2.0-85066012643)-
dc.identifier.urihttps://doi.org/10.1109/ANTS.2018.8710079-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/5237-
dc.description.abstractIn this paper, we propose a defragmentation based load balancing technique for efficiently undertaking routing and spectrum assignment (RSA), and minimizing the fragmentation problem in elastic optical network (EON). In EON, after connections terminate, they leave behind spectrum gaps which con not be re-assigned. To counter this condition, in Defragmentation based Load Balancing Routing and Spectrum Assignment (DLBRSA), the existing connections are reconfigured. At the time of defragmentation, for route selection, among the available shortest routes, the route with the largest chunk of contiguous frequency slots (FSs) is chosen. DLBRSA has three advantages over the conventional Shortest Path RSA (SPRSA) technique: (1) defragmentation increases the network resource utilization, (2) load balancing on the basis of the largest available FS chunk along the route ensures uniform spectrum allocation, and (3) defragmentation ensures that the route length of the request is minimum. The performance of the DLBRSA is analyzed in reference to a benchmark, SPRSA strategy. The comparison is done on the metrics of bandwidth rejected, and the percentage of total network capacity allocated for the EON and NSFNET network topologies. These two parameters are evaluated under the two scenarios of increase in: network load (in Erlang) and number of FSs demand. Simulation results show lower bandwidth blocking probability of DLBRSA from 6.53% to 8.96% under the different load conditions. In addition, decrease of network resource utilization is observed, when we compare the proposed DLBRSA with SPRSA the existing strategy. © 2018 IEEE.en_US
dc.language.isoenen_US
dc.publisherIEEE Computer Societyen_US
dc.sourceInternational Symposium on Advanced Networks and Telecommunication Systems, ANTSen_US
dc.subjectBandwidthen_US
dc.subjectBenchmarkingen_US
dc.subjectFiber optic networksen_US
dc.subjectRouting algorithmsen_US
dc.subjectBandwidth blocking probabilitiesen_US
dc.subjectElastic optical networksen_US
dc.subjectfragmentationen_US
dc.subjectLoad balancing techniqueen_US
dc.subjectLoad-balancing routingen_US
dc.subjectNetwork resource utilizationen_US
dc.subjectRouting and spectrum assignment (RSA)en_US
dc.subjectSpectrum allocationen_US
dc.subjectBlocking probabilityen_US
dc.titleDefragmentation Based Load Balancing Routing Spectrum Assignment (DLBRSA) strategy for elastic optical networksen_US
dc.typeConference Paperen_US
Appears in Collections:Department of Electrical Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: