Monitoring Devices for Providing Network Intelligence in Optical Packet Switched Networks

2013 ◽  
pp. 73-103
Author(s):  
Ruth Vilar ◽  
Francisco Ramos
Keyword(s):  
Performance Monitoring ◽  
Optical Packet Switching ◽  
Optical Performance Monitoring ◽  
Switched Networks ◽  
All Optical ◽  
Optical Layer ◽  
Network Intelligence ◽  
Control And Management ◽  
Monitoring Devices

The development of all-Optical Packet Switching (OPS) networks brings about new challenges in the topic of Optical Performance Monitoring (OPM). The objectives of this chapter are addressed to the proposal of new monitoring techniques capable of packet-by-packet monitoring in the optical domain to preserve packet transparency. Moreover, new optical layer functionalities such as dynamic reconfiguration and link level restoration also introduce a level of complexity that may require advanced OPM capabilities. In this chapter, an OSNR monitoring technique and its application for providing network intelligence are explained in detail. In particular, the integration of the monitoring system with the control and management planes is investigated to perform other functions such as quality of service implementation, OSNR-assisted routing, and backup route selection.

scholarly journals AI-Based Modeling and Monitoring Techniques for Future Intelligent Elastic Optical Networks

2020 ◽  
Vol 10 (1) ◽  
pp. 363 ◽  
Author(s):  
Xiaomin Liu ◽  
Huazhi Lun ◽  
Mengfan Fu ◽  
Yunyun Fan ◽  
Lilin Yi ◽  
...  
Keyword(s):  
Optical Networks ◽  
Performance Monitoring ◽  
Recent Progress ◽  
Optical Network ◽  
Data Driven ◽  
High Definition ◽  
Optical Performance Monitoring ◽  
Monitoring Tools ◽  
Quality Of Transmission

With the development of 5G technology, high definition video and internet of things, the capacity demand for optical networks has been increasing dramatically. To fulfill the capacity demand, low-margin optical network is attracting attentions. Therefore, planning tools with higher accuracy are needed and accurate models for quality of transmission (QoT) and impairments are the key elements to achieve this. Moreover, since the margin is low, maintaining the reliability of the optical network is also essential and optical performance monitoring (OPM) is desired. With OPM, controllers can adapt the configuration of the physical layer and detect anomalies. However, considering the heterogeneity of the modern optical network, it is difficult to build such accurate modeling and monitoring tools using traditional analytical methods. Fortunately, data-driven artificial intelligence (AI) provides a promising path. In this paper, we firstly discuss the requirements for adopting AI approaches in optical networks. Then, we review various recent progress of AI-based QoT/impairments modeling and monitoring schemes. We categorize these proposed methods by their functions and summarize advantages and challenges of adopting AI methods for these tasks. We discuss the problems remained for deploying AI-based methods to a practical system and present some possible directions for future investigation.

Performance monitoring on the orthogonality among the multisubcarriers of an all-optical OFDM system

2009 ◽  
Author(s):  
Shumin Zou ◽  
Nan Chi ◽  
Yufeng Shao ◽  
Xi Zheng ◽  
Junwen Zhang ◽  
...  
Keyword(s):  
Performance Monitoring ◽  
Ofdm System ◽  
All Optical ◽  
Optical Ofdm

scholarly journals Dynamic Wavelength Grouping for Quality of Service in Optical Packet Switching

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Hafsa Bibi ◽  
Farrukh Zeeshan Khan ◽  
Muneer Ahmad ◽  
Anum Naseem ◽  
Tomasz Holynski ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Packet Switching ◽  
Optical Packet Switching

scholarly journals Emulating Software-Defined Disaggregated Optical Networks in a Containerized Framework

2021 ◽  
Vol 11 (5) ◽  
pp. 2081
Author(s):  
Francisco-Javier Moreno-Muro ◽  
Miquel Garrich ◽  
Ignacio Iglesias-Castreño ◽  
Safaa Zahir ◽  
Pablo Pavón-Mariño
Keyword(s):  
Optical Networks ◽  
Transport Infrastructure ◽  
Optical Systems ◽  
Traffic Demand ◽  
Novel Approach ◽  
Infrastructure Project ◽  
Optical Layer ◽  
Optical Domain ◽  
Control And Management ◽  
Remote Communications

Telecom operators’ infrastructure is undergoing high pressure to keep the pace with the traffic demand generated by the societal need of remote communications, bandwidth-hungry applications, and the fulfilment of 5G requirements. Software-defined networking (SDN) entered in scene decoupling the data-plane forwarding actions from the control-plane decisions, hence boosting network programmability and innovation. Optical networks are also capitalizing on SDN benefits jointly with a disaggregation trend that holds the promise of overcoming traditional vendor-locked island limitations. In this work, we present our framework for disaggregated optical networks that leverages on SDN and container-based management for a realistic emulation of deployment scenarios. Our proposal relies on Kubernetes for the containers’ control and management, while employing the NETCONF protocol for the interaction with the light-weight software entities, i.e., agents, which govern the emulated optical devices. Remarkably, our agents’ structure relies on components that offer high versatility for accommodating the wide variety of components and systems in the optical domain. We showcase our proposal with the emulation of an 18-node European topology employing Cassini-compliant optical models, i.e., a state-of-the-art optical transponder proposed in the Telecom Infrastructure Project. The combination of our versatile framework based on containerized entities, the automatic creation of agents and the optical-layer characteristics represents a novel approach suitable for operationally complex carrier-grade transport infrastructure with SDN-based disaggregated optical systems.

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