Auxiliary-Graph-Based Energy-Efficient Traffic Grooming in IP-Over-Fixed/Flex-Grid Optical Networks

Zhu, Qingcheng; Yu, Xiaosong; Zhao, Yongli; Nag, Avishek; Zhang, Jie

doi:10.1109/jlt.2021.3057389

Cited by 18 publications

(6 citation statements)

References 24 publications

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“…Therefore, the focus should be on ensuring the uniformity of OSNR, as opposed to GSNR. In order to assess the impact of HPO on network performance, we conducted experiments involving a national-scale network by adopting the United States backbone topology (USB24) [9] consisting of 24 nodes and 43 links, and average lightpath distance of 3, 425 km. This topology results in a total capacity of (3×24×23)/2 = 828 connections/lightpaths, where k = 3 shortest paths have been considered for each source-destination pair.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Hyperaccelerated Power Optimization in Multi-Band Elastic Optical Networks

Arpanaei,

Ghodsifar,

Beyranvand

et al. 2024

Optical Fiber Communication Conference (OFC) 2024

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Hyperaccelerated Power Optimization in Multi-Band Elastic Optical Networks

Arpanaei,

Ghodsifar,

Beyranvand

et al. 2024

Optical Fiber Communication Conference (OFC) 2024

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“…Meanwhile, the learning mechanism monitors the network and fnds the optimal energy-saving point to avoid congestion, which further reduces energy consumption compared to traditional optical networks. A fex grid elastic optical network energy consumption analysis was presented in [8] considering the mismatch between optical channel capacities and IP trafc. Te presented trafc grooming model formulates the issues as auxiliary graphs and introduces a weight assignment scheme to establish a better relationship between energy consumption and trafc operations.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Regional Area Metropolitan Optical Access Network (RAMOAN) Using Modified Load Adaptive Sequence Arrangement (M-LASA) Methodology

Kumar

Mohan

2023

International Transactions on Electrical Energy Systems

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Energy efficiency in optical networks is one of the important criteria to attain enhanced performance. Better energy efficiency can be attained in optical networks if the resources are properly scheduled. Polling sequences perform resource scheduling based on load requirements, and various methodologies have evolved in recent times for better efficiency. Load adaptive sequence arrangement (LASA) is one of the familiar and efficient methodologies adopted in various methodologies. However, the power consumption and idle time of optical network units are high which should be reduced to attain optimal network performances. Considering this, a modified LASA is presented in this research work for the regional area metropolitan optical access network (RAMOAN). The modified LASA is obtained by integrating the first-in-last-out polling sequence such that the proposed arrangement provides a better coverage radius, minimal power cost, maximum access reach, maximum energy saving, and minimal delay and energy cost. The better performance of the proposed approach is compared with traditional time and wavelength division multiplexed (TWDM), TWDM-protected, and RAMOAN with LASA through simulation analysis to validate the better performances of the proposed model.

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“…Zhu et al [14] introduced an auxiliary graph-based energy-efficient traffic grooming (EETG) algorithm for IP-over-fixed/flex-grid ON. An auxiliary graph was constructed for each connection request, and a weight-assignment scheme was employed to establish dependencies among traffic grooming operations and energy consumption models.…”

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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Auxiliary-Graph-Based Energy-Efficient Traffic Grooming in IP-Over-Fixed/Flex-Grid Optical Networks

Cited by 18 publications

References 24 publications

Hyperaccelerated Power Optimization in Multi-Band Elastic Optical Networks

Hyperaccelerated Power Optimization in Multi-Band Elastic Optical Networks

Energy-Efficient Regional Area Metropolitan Optical Access Network (RAMOAN) Using Modified Load Adaptive Sequence Arrangement (M-LASA) Methodology

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

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