Survivable time-aware traffic grooming in spatial division multiplexing elastic optical networks with minimized crosstalk

Hosseini, Soheil; Rahbar, Akbar Ghaffarpour; Jafari-Beyrami, Mohammad

doi:10.1016/j.compeleceng.2020.106579

Cited by 10 publications

(3 citation statements)

References 23 publications

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“…Deep reinforcement learning based algorithm to optimize the energy consumption Hosseini et al [58] Traffic Grooming Heuristic to optimize the use of spectrum and BVT.…”

Section: Traffic Grooming Fragmentation and Split Spectrum Techniquesmentioning

confidence: 99%

“…Zhu et al [57] proposed a grooming algorithm based on deep reinforcement learning that extracts the state of the network and takes actions to decide where to groom a given IoT service with the goal of optimizing energy consumption. Hosseini et al [58] proposed a heuristic to groom incoming traffic requests to existing lightpaths with remaining holding times close to the holding time required by the request, or establish a new lightpath aiming at efficiently using the spectrum and BVT resources. The proposals are summarized in Table IV.…”

Section: Traffic Grooming Fragmentation and Split Spectrum Techniquesmentioning

confidence: 99%

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Routing, Modulation and Spectrum Assignment Algorithm Using Multi-Path Routing and Best-Fit

et al. 2021

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Elastic Optical Networks (EONs) are a promising optical technology to deal with the everincreasing traffic and the vast number of connected devices of the next generation of the Internet, associated to paradigms like the Internet of Things (IoT), the Tactile Internet or the Industry 4.0, to name just a few. In this kind of optical network, each optical circuit or lightpath is provisioned by means of superchannels of variable bandwidth. In this manner, only the necessary bandwidth to accommodate the demand is allocated, improving the spectrum usage. When establishing a connection, the EON control layer determines the modulation format to be used and allocates a portion of the spectrum in a sequence of fibers from the source to the destination node providing the user-demanded bandwidth. This is known as the routing, modulation level and spectrum assignment (RMSA) problem. In this work, we firstly review the most important contributions in that area, and then, we propose a novel RMSA algorithm, multi-path best-fit (MP-BF), which uses a split spectrum multi-path strategy together with a spectrum assignment technique (best-fit), and which jointly exploit the flexibility of EONs. A simulation study has been conducted comparing the performance of EONs when using MP-BF with other proposals from the literature. The results of this study show that, by using MP-BF, the network can increase its performance in terms of lightpath request blocking ratio and supported traffic load, without affecting the energy per bit or the computation time required to find a solution.

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“…Deep reinforcement learning based algorithm to optimize the energy consumption Hosseini et al [58] Traffic Grooming Heuristic to optimize the use of spectrum and BVT.…”

Section: Traffic Grooming Fragmentation and Split Spectrum Techniquesmentioning

confidence: 99%

Section: Traffic Grooming Fragmentation and Split Spectrum Techniquesmentioning

confidence: 99%

Routing, Modulation and Spectrum Assignment Algorithm Using Multi-Path Routing and Best-Fit

et al. 2021

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show abstract

“…These parameters were assessed in a detailed manner and the usage of these parameters in several research studies were also interpreted. Optimal use of network resources and survivability of data was contributed by the allotted path protection provided and traffic grooming strategies [18]. Assis et al utilized the mixed-integer linear programming [1] with heuristic and meta-heuristic approaches which was used for the virtual optical networks (VONs) design.…”

Section: Related Workmentioning

confidence: 99%

Optimized Traffic Grooming through modified PSO based Iterative Hungarian algorithm in Optical Networks

Kumarnath

Batri

2021

ITC

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Due to huge size of the data and quick transmission of data between the nodes present in the optical network, a condition of network traffic is created among the nodes of the network. This issue of traffic can be overcome by employing numerous traffic grooming techniques. In this research paper, the best suitable shortest path is determined by the multi objective modified PSO algorithm and an innovative visibility graph based Iterative Hungarian Traffic grooming algorithm is implemented to reduce the blocking ratio through improving the allocation of bandwidth between the users. Then finally the performance analysis is carried out by means of performance measures such as traffic throughput, transceivers count, average propagation delay, blocking ratio, and success ratio. It can be inferred that the proposed work obtains enhanced outcomes when compared to the other existing techniques.

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Space Division Multiplexing Elastic Optical Network—Challenges and Opportunities

Tiwari,

Batham,

Thakare

2023

Algorithms for Intelligent Systems

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Survivable time-aware traffic grooming in spatial division multiplexing elastic optical networks with minimized crosstalk

Cited by 10 publications

References 23 publications

Routing, Modulation and Spectrum Assignment Algorithm Using Multi-Path Routing and Best-Fit

Routing, Modulation and Spectrum Assignment Algorithm Using Multi-Path Routing and Best-Fit

Optimized Traffic Grooming through modified PSO based Iterative Hungarian algorithm in Optical Networks

Space Division Multiplexing Elastic Optical Network—Challenges and Opportunities

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