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View article: Reliability and Availability in Virtualized Networks: A Survey on Standards, Modeling Approaches, and Research Challenges
Reliability and Availability in Virtualized Networks: A Survey on Standards, Modeling Approaches, and Research Challenges Open
The rise of Network Function Virtualization (NFV) has transformed network infrastructures by replacing fixed hardware with software-based Virtualized Network Functions (VNFs), enabling greater agility, scalability, and cost efficiency. Vir…
View article: Vertical Federated Learning for Failure-Cause Identification in Disaggregated Microwave Networks
Vertical Federated Learning for Failure-Cause Identification in Disaggregated Microwave Networks Open
Machine Learning (ML) has proven to be a promising solution to provide novel scalable and efficient fault management solutions in modern 5G-and-beyond communication networks. In the context of microwave networks, ML-based solutions have re…
View article: Multi-Failure Localization in High-Degree ROADM-based Optical Networks using Rules-Informed Neural Networks
Multi-Failure Localization in High-Degree ROADM-based Optical Networks using Rules-Informed Neural Networks Open
To accommodate ever-growing traffic, network operators are actively deploying high-degree reconfigurable optical add/drop multiplexers (ROADMs) to build large-capacity optical networks. High-degree ROADM-based optical networks have multipl…
View article: Digital-twin-based active input refinement for insertion loss estimation and QoT optimization in C and C + L networks
Digital-twin-based active input refinement for insertion loss estimation and QoT optimization in C and C + L networks Open
Quality of transmission (QoT) prediction is a fundamental function in optical networks. It is typically embedded within a digital twin and used for operational tasks, including service establishment, service rerouting, and (per-channel or …
View article: Minimizing Power Consumption in IPoWDM Networks with ZR/ZR+ Using Network Reconfiguration
Minimizing Power Consumption in IPoWDM Networks with ZR/ZR+ Using Network Reconfiguration Open
We evaluate power consumption savings in IPoWDM networks with ZR/ZR+ using network reconfiguration with daily varying traffic profile.Although network reconfiguration with ZR+ is less effective than with long-haul muxponder, ZR+ is still m…
View article: Power-consumption analysis for different IPoWDM network architectures with ZR/ZR+ and long-haul muxponders
Power-consumption analysis for different IPoWDM network architectures with ZR/ZR+ and long-haul muxponders Open
Operators are constantly faced with the need to increase optical-network capacity to accommodate rapid traffic growth while minimizing the cost-per-bit and power-per-bit. The drastic reduction of the power consumption of IP routers and ZR/…
View article: Increasing Information-Carrying Capacity by Exploiting Diverse Traffic Characteristics in Multi-Band Optical Networks
Increasing Information-Carrying Capacity by Exploiting Diverse Traffic Characteristics in Multi-Band Optical Networks Open
Efficient network management in optical backbone networks is crucial for handling continuous traffic growth. In this work, we address the challenges of managing dynamic traffic in C- and C+L-band optical backbone networks while exploring a…
View article: Poster: Flexible Scheduling of Network and Computing Resources for Distributed AI Tasks
Poster: Flexible Scheduling of Network and Computing Resources for Distributed AI Tasks Open
Many emerging Artificial Intelligence (AI) applications require on-demand provisioning of large-scale computing, which can only be enabled by leveraging distributed computing services interconnected through networking. To address such incr…
View article: Vertical Federated Learning for Failure Localization in Partially Disaggregated Optical Networks
Vertical Federated Learning for Failure Localization in Partially Disaggregated Optical Networks Open
Machine Learning (ML) for failure management in optical networks has recently gained noteworthy attention. Even though real field-collected data is crucial for ML-based failure management, it is challenging to access data in emerging disag…
View article: DRL-based progressive recovery for quantum-key-distribution networks
DRL-based progressive recovery for quantum-key-distribution networks Open
With progressive network recovery, operators restore network connectivity after massive failures along multiple stages, by identifying the optimal sequence of repair actions to maximize carried live traffic. Motivated by the initial deploy…
View article: Cost and Power-Consumption Analysis for Power Profile Monitoring with Multiple Monitors per Link in Optical Networks
Cost and Power-Consumption Analysis for Power Profile Monitoring with Multiple Monitors per Link in Optical Networks Open
As deploying large amounts of monitoring equipment results in elevated cost and power consumption, novel low-cost monitoring methods are being continuously investigated. A new technique called Power Profile Monitoring (PPM) has recently ga…
View article: Poster: Flexible Scheduling of Network and Computing Resources for Distributed AI Tasks
Poster: Flexible Scheduling of Network and Computing Resources for Distributed AI Tasks Open
Many emerging Artificial Intelligence (AI) applications require on-demand provisioning of large-scale computing, which can only be enabled by leveraging distributed computing services interconnected through networking. To address such incr…
View article: Shared-Protected Backup Paths Assignment with Mode Group Division Multiplexing in Optical Networks
Shared-Protected Backup Paths Assignment with Mode Group Division Multiplexing in Optical Networks Open
We evaluate the resource efficiency of Mode Group Division Multiplexing (MGDM) with shared path protection (SPP) in optical networks. On our case studies, SPP with MGDM obtains significant savings in terms of both additional backup spectru…
View article: A Power-Consumption Analysis for Different IPoWDM Network Architectures with ZR/ZR+ and Long-Haul Muxponders
A Power-Consumption Analysis for Different IPoWDM Network Architectures with ZR/ZR+ and Long-Haul Muxponders Open
We quantify and compare the power consumption of four IPoWDM transport network architectures employing ZR/ZR+ modules, considering different grooming, regeneration, and optical bypass capabilities. Results show that optical bypass is still…
View article: Throughput Maximization in Multi-Band Optical Networks with Column Generation
Throughput Maximization in Multi-Band Optical Networks with Column Generation Open
Multi-band transmission is a promising technical direction for spectrum and capacity expansion of existing optical networks. Due to the increase in the number of usable wavelengths in multi-band optical networks, the complexity of resource…
View article: Reliable Provisioning of Low-Latency and High-Bandwidth Extended Reality Live Streams
Reliable Provisioning of Low-Latency and High-Bandwidth Extended Reality Live Streams Open
The networking industry is offering new services leveraging recent technological advances in connectivity, storage, and computing such as mobile communications and edge computing.In this regard, extended reality, a term encompassing virtua…
View article: GSNR-aware resource re-provisioning for C to C+L-bands upgrade in optical backbone networks
GSNR-aware resource re-provisioning for C to C+L-bands upgrade in optical backbone networks Open
Efficient network management in optical backbone networks is essential to manage continuous traffic growth. To accommodate this growth, network operators need to upgrade their infrastructure at appropriate times. Given the cost constraint …
View article: Machine Learning for Failure Management in Microwave Networks: A Data-Centric Approach
Machine Learning for Failure Management in Microwave Networks: A Data-Centric Approach Open
We consider the problem of classifying hardware failures in microwave networks given a collection of alarms using Machine Learning (ML). While ML models have been shown to work extremely well on similar tasks, an ML model is, at most, as g…
View article: A Distributed-Ledger-based Multi-Entity Cooperation Platform for Network-Cloud Recovery
A Distributed-Ledger-based Multi-Entity Cooperation Platform for Network-Cloud Recovery Open
Cooperation among telecom carriers and datacenter (DC) providers (DCPs) is essential to ensure resiliency of network-cloud ecosystems. To enable efficient cooperative recovery in case of resource crunch, e.g., due to traffic congestion or …
View article: MEC-Enabled Edge Network Deployment With Converged Fiber and Millimeter-Wave Communications
MEC-Enabled Edge Network Deployment With Converged Fiber and Millimeter-Wave Communications Open
Mobile edge computing (MEC) and millimeter-wave (mmWave) communication are promising techniques for future cellular networks. MEC enables latency-critical tasks offloading at the network edge, while mmWave provides an abundant spectrum for…
View article: Digital-twin-assisted meta learning for soft-failure localization in ROADM-based optical networks
Digital-twin-assisted meta learning for soft-failure localization in ROADM-based optical networks Open
Reconfigurable optical add/drop multiplexer (ROADM) nodes are evolving towards high-degree architectures to support growing traffic and enable flexible network connectivity. Due to the complex composition of high-degree ROADMs, soft failur…
View article: Network for AI: Communication-Efficient Federated Learning with MST-based Scheduling and Multi-Aggregation over Optical Networks
Network for AI: Communication-Efficient Federated Learning with MST-based Scheduling and Multi-Aggregation over Optical Networks Open
We propose a Minimum-Spanning-Tree-based scheduling and Multi-aggregation framework (MST-M) for communication-efficient Federated Learning. Simulation results show that MST-M saves over 10% in communication costs compared to existing heuri…
View article: Throughput Increase in Multi-Fiber Networks using Partial Lane-Change Capabilities
Throughput Increase in Multi-Fiber Networks using Partial Lane-Change Capabilities Open
Effective application of lane change in multi-fiber (MF) networks is hindered by limitations in WSS-size in ROADMs. We show that introducing lane-change only at degree-2 nodes leads to significant throughput increase, for a commensurate ad…
View article: DC-Carrier Cooperation for Rapid Restoration against PNE-Node Failure in Optical Networks
DC-Carrier Cooperation for Rapid Restoration against PNE-Node Failure in Optical Networks Open
We propose a rapid restoration strategy against PNE-node failure during post-disaster cooperation among DC providers and optical-network carriers. Our strategy reduces disruption and improves DC-service restoration by 35% in 20% less time …
View article: Hollow-Core-Fiber Placement in Latency-Constrained Metro Networks with edgeDCs
Hollow-Core-Fiber Placement in Latency-Constrained Metro Networks with edgeDCs Open
We investigate the optimal placement of Hollow-Core Fibers (HCF) in latency-constrained metro networks with edgeDCs, performing physical-layer validation. Upgrading 24% of links to HCF reduces edgeDCs number by 29% compared to a network wi…
View article: Availability-Guaranteed Differentiated Provisioning in Integrated Satellite-Terrestrial Optical Networks
Availability-Guaranteed Differentiated Provisioning in Integrated Satellite-Terrestrial Optical Networks Open
This paper investigates differentiated provisioning in integrated satellite-terrestrial optical networks. Two connection availability models are developed considering network dynamic nature. Two availability-guaranteed differentiated provi…