Dynamic Wavelength Scheduling by Multiobjectives in OBS Networks

V. Kishen Ajay Kumar, M. Rudra Kumar, N. Shribala, Ninni Singh, Vinit Kumar Gunjan, Kazy Noor-e-alam Siddiquee, Muhammad Arif and Naeem Jan

Journal of Mathematics, 2022, vol. 2022, 1-10

Abstract: The burst dropping ratio is witnessed in the contemporary literature as a considerable constraint of optical burst switching (OBS) networks that attained many researchers’ efforts in the recent past. Among the multiple practices endeavoring to reduce the burst drop ratio, the optimal burst scheduling is one dimension in this regard. The transmission channel scheduling and appropriate wavelength allocation are critical objectives to achieve optimal burst scheduling in regard to minimal burst drop ratio. Many of the scheduling models depicted in the contemporary literature aimed to achieve the optimum scheduling by electing the channels, which depend on optimum utilization of idle time. Some of the studies tried to select channels by any metrics of quality, and significantly minimal amount of studies focused on wavelength allocation for lowering BDR. Moreover, in regard to this, this study tried to achieve optimum wavelength allocation beneath manifold objective QoS metrics, which is identified as “multiobjective dynamic wavelength scheduling (DyWaS).†The experimental study carried through the simulations evinced that the proposed model DyWaS escalated the optimality of burst scheduling through wavelength allocation compared with other existing methods represented in the contemporary literature.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jjmath:3806018

DOI: 10.1155/2022/3806018

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