Spectrum resource optimization in elastic optical networks using dynamic RMSA

The optical network architecture is undergoing a significant transformation to meet the world Internet traffic that demands ultra-high capacity and Terabit data rates. Network automation, elasticity and operational efficiency have evolved as a new challenge to deploy super wavelength in the transpor...

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Bibliographic Details
Published in:Optical and quantum electronics 2022-04, Vol.54 (4), Article 260
Main Authors: Gandhimathi, Esther, Swarnalatha, A., Sowmya, B., Palani, Geetha
Format: Article
Language:English
Subjects:
Algorithms
Bandwidths
Characterization and Evaluation of Materials
Computer architecture
Computer Communication Networks
Electrical Engineering
Fragmentation
Lasers
Multiplexers
Networks
Optical communication
Optical Devices
Optical switching
Optics
Optimization
Photonics
Physics
Physics and Astronomy
Resource utilization
Shortest-path problems
Spectrum allocation
Traffic capacity
Transponders
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Summary:The optical network architecture is undergoing a significant transformation to meet the world Internet traffic that demands ultra-high capacity and Terabit data rates. Network automation, elasticity and operational efficiency have evolved as a new challenge to deploy super wavelength in the transport networks. A flexible and scalable architecture that has evolved recently is Elastic Optical Networks. Bandwidth Variable Transponders with finer granularity and Flexible ROADM provide enormous bandwidth to the heterogeneous networks. Dynamic Routing, Modulation and Spectrum Assignment strategy is intended to optimize the resource utilization. A Cut based Fragmentation aware and Balanced Load Dynamic RMSA is proposed that optimize the transponder utilization and requested light paths. An appropriate defragmentation triggering policy is also investigated in this manuscript. Numerical results reveal that the proposed algorithm achieves better results in terms of bandwidth blocking probability, number of transponders per request and spectrum resource utilization compared to the benchmark EoN-RSA algorithms like k-Shortest Path Routing and Spectrum Assignment (k-SPRSA), Balanced Load RSA (BL-DRSA), Fragmentation Aware DRSA (FA-DRSA).
ISSN:0306-8919
1572-817X
DOI:10.1007/s11082-022-03642-7