Q-Learning-Based Energy-Efficient Network Planning in IP-Over-EON

Biswas, Pramit; Akhtar, Shahbaz; Adhya, Aneek; Saha, Sriparna; Majhi, Sudhan

doi:10.1109/tnsm.2022.3197329

Cited by 4 publications

(3 citation statements)

References 23 publications

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“…There are several research groups in India working on different aspects of optical networking. Spectrum allocation in elastic optical networks, link failure protection strategies are studied by research groups at IIT Kanpur [51]; resource allocation for mixed grid optical networks, applying deep/machine learning methods to achieve quality aware resource provisioning, nonlinear-impairment-aware proactive de-fragmentation are done at IIIT Delhi [52], energy efficiency of backbone and access networks are studied at IIT Kharagpur [53], application of machine learning in order to maximize performance of distributed RAMAN amplifier for WDM network applications [54], deep learning assisted estimation of Quality of Transmission in optical transport networks [55] is done at IIT ISM Dhanbad. There are several industry players in this domain, including Tejas Networks which global networking product company, who are responsible for design and deployment of the networking infrastructure in the country.…”

Section: F Optical Networkingmentioning

confidence: 99%

Advancements in Optical Communication Research: A Review of India's Progress

Singh,

Chatterjee,

Suchita

et al. 2024

IEEE Photonics J.

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With the increasing use of internet and mobile phones, the capacity of the backbone optical communication link has been continually growing across the world and especially in India. The total optical fiber cable deployed for the BharatNet initiative of Government of India is expected to increase from 3.4 million km to 5 million km in 2024-25 just for providing lastmile connectivity. Considering this deep proliferation, this article attempts to capture the diverse research carried out in India in the domain of optical communication.

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Section: F Optical Networkingmentioning

confidence: 99%

Advancements in Optical Communication Research: A Review of India's Progress

Singh,

Chatterjee,

Suchita

et al. 2024

IEEE Photonics J.

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“…Biswas et al [24] integrated reinforcement learning with an auxiliary graph (AG)-based greedy method to save energy in large networks. The method selected an apted traffic allocation sequence to minimize energy consumption.…”

Section: Literature Related To Energy-efficient Optical Networkmentioning

confidence: 99%

Optimizing Network Performance and Power Consumption in Green Optical Networking: A Dual Algorithm Approach

Swamidoss,

Samiayya,

Gunasekar

2023

Preprint

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Nowadays, there is an increasing need for advanced technological solutions due to concerns about the energy crisis and environmental protection. In particular, there has been a growing focus on developing green Information and Communication Technologies (ICT) solutions, as the energy consumption of ICT devices has been rapidly increasing in recent decades. This paper introduces EPSO-based flow-aware routing mechanisms that aim to minimize Queueing Delay, Power Consumption (Energy Dissipation), and Load Deviation. Two flow-aware mechanisms, namely the Flow aware load adaptive scheme (FA-LAR) and the flow-aware distance adaptive scheme (FA-DAR), are utilized in this study. The goal is to avoid traffic congestion across the routes by selecting the most direct and efficient paths for the flows. These routed paths are optimized using the MEPSO-based FA-DAR routing algorithm, resulting in significant energy savings. Extensive numerical simulations are conducted to evaluate the proposed algorithms using metrics such as throughput, routing efficiency, queuing delay, load deviation, and energy efficiency. The simulation results demonstrate that the proposed method outperforms existing benchmark methods in all metrics. Furthermore, it ensures lower power consumption, queuing delay, and load deviation. The method exhibits a 30% improvement in throughput and a 24% improvement in energy efficiency compared to existing benchmark methods.

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“…In the network layer, routers are able to groom traffic in the electric layer. Simultaneously, full flexibility is assumed in a sense that each router port is connected to a sliceable transponder able to groom multiple traffic streams in the optical domain [38]. The topology of the virtual layer was established.…”

Section: Network Layermentioning

confidence: 99%

Performance Analysis of Automatic Hidden Ligthpaths in Multi-Layer Networks

Biernacka

Domżał

2023

Photonics

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The problem of resource provisioning in multi-layer networks is an important issue. We discuss and analyze resource provisioning in terms of the visibility of optical resources for the virtual layer in a network. In this context, we propose the diversification of the optical spectrum in such a way that some resources are hidden for the virtual layer and used when needed. We introduce and investigate automatic hidden lightpaths to improve resource utilization in multi-layer networks. Our solution uses a software-defined networking concept to automatically set up and release hidden lightpaths, which are not visible at the network layer. We evaluate and analyze two main approaches to resource provisioning in terms of the blocking probability. Future research should focus on resource diversification and the usage of the hidden elastic optical spectrum in modern networks as a promising solution.

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Q-Learning-Based Energy-Efficient Network Planning in IP-Over-EON

Cited by 4 publications

References 23 publications

Advancements in Optical Communication Research: A Review of India's Progress

Advancements in Optical Communication Research: A Review of India's Progress

Optimizing Network Performance and Power Consumption in Green Optical Networking: A Dual Algorithm Approach

Performance Analysis of Automatic Hidden Ligthpaths in Multi-Layer Networks

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