Resource allocation with advance reservation using artificial neural network in elastic optical networks

Mahala, Neha; Thangaraj, Jaisingh

doi:10.1007/s00500-021-05710-8

Cited by 5 publications

(2 citation statements)

References 20 publications

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“…Second, in the spectrum allocation phase, a two-dimensional fragmentation-aware spectrum assignment strategy (2D-FA) was proposed. In the same year, Mahala et al considered the problem of routing and spectrum assignment in EONs for advanced reservation traffic and proposed a suitable technique for this problem [17]. They proposed a strategy called spectrum allocation using prediction and reservation (SAPR).…”

Section: Related Workmentioning

confidence: 99%

Link Resource-Aware RMSA Algorithm for Advance Reservation Requests in Semi-Filterless Optical Networks

Yuan,

Wang,

Xie

et al. 2023

Photonics

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This paper investigates the routing, modulation, and spectrum assignment (RMSA) problem for advance reservation (AR) requests in semi-filterless optical networks (semi-FONs). A link resource-aware (LRA) algorithm consisting of three parts is proposed. First, in the request scheduling phase, a request sorting strategy based on the flexible window size of the starting time is proposed. This strategy schedules AR requests based on the size of a flexible window with respect to the starting time. Next, in the routing phase, a link resource-aware strategy is proposed. This strategy evenly distributes the requests across the network resources, thereby avoiding request blocking due to excessive resource occupation on a single or few links. In the spectrum assignment phase, a frequency–time block-based metric is employed to measure the availability of each frequency–time block for AR requests. This metric is a sum of two factors: the distance to the block and spectrum boundaries, and the time interval between the request start time and the earliest start time. Our simulation results demonstrate that the proposed LRA algorithm has a lower blocking probability compared to the benchmark algorithms.

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Section: Related Workmentioning

confidence: 99%

Link Resource-Aware RMSA Algorithm for Advance Reservation Requests in Semi-Filterless Optical Networks

Yuan,

Wang,

Xie

et al. 2023

Photonics

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“…Experimental work indicated that the proposed algorithms improved network performance considering FS utilization and blocking probability under dynamic traffic requests. [16,17] presented a simulation platform designed to control traffic characteristics during its management by the nodes of EONs. This platform represented the loss probability for individual service classes in the nodes during resource reservation management.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Flexible QoS scheme with optimized slice assignment to manage traffic dynamism over elastic optical networks

Khlifi

2023

Preprint

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Elastic optical networks (EON) provide an adequate solution for flexible connections using a flexible grid (flex-grid) to manage resource availability and support high-bandwidth applications. However, EON resource utilization and QoS provisions are affected by dynamic traffic with variable parameters and needs created by new applications and services. This paper presents a flexible QoS scheme using optimized slice assignment to resolve traffic dynamism challenges. That scheme balances wavelength slice allocation and irregular traffic rates, integrating real-time and required parameters employing the designed slots' cost optimization. It enables an innovative cost formulation, developed in the mathematical model, to ensure EON constancy in supervising bandwidth essential granularity and variable traffic demands and improve loss, blocking probability, slice utilization, and extra mean processing time. Extensive simulation shows that the suggested scheme performs a novel algorithm, optimizing slice usage and guaranteeing traffic requirements better than the recent approaches, including arrival time and priority level of incoming variable traffic constraints.

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Research on Bandwidth Reservation Algorithm of Teaching Resources in Cloud Computing Environment

Chen

Liao

Liu

2022

Communications in Computer and Information Science

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Resource allocation with advance reservation using artificial neural network in elastic optical networks

Cited by 5 publications

References 20 publications

Link Resource-Aware RMSA Algorithm for Advance Reservation Requests in Semi-Filterless Optical Networks

Link Resource-Aware RMSA Algorithm for Advance Reservation Requests in Semi-Filterless Optical Networks

Flexible QoS scheme with optimized slice assignment to manage traffic dynamism over elastic optical networks

Research on Bandwidth Reservation Algorithm of Teaching Resources in Cloud Computing Environment

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