Multi-layer SDN on a commercial Network Control Platform for Packet Optical Networks

2014 ◽  
Author(s):  
A. Felix ◽  
N. Borges ◽  
H. Wu ◽  
M. Hanlon ◽  
M. Birk ◽  
...  
Keyword(s):  
Optical Networks ◽  
Network Control ◽  
Commercial Network

Distributed network control for optical networks

1997 ◽  
Vol 5 (6) ◽  
pp. 936-943 ◽  
Author(s):  
R. Ramaswami ◽  
A. Segall
Keyword(s):  
Optical Networks ◽  
Network Control ◽  
Distributed Network

scholarly journals Network control and orchestration in SDM and WDM optical networks

2020 ◽  
Author(s):  
Raul Muñoz ◽  
Noboru Yoshikane ◽  
Ricard Vilalta ◽  
Ramon Casellas ◽  
Ricardo Martínez ◽  
...  
Keyword(s):  
Optical Networks ◽  
Network Control ◽  
Wdm Optical Networks

scholarly journals Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks

Entropy ◽  
2020 ◽  
Vol 23 (1) ◽  
pp. 7
Author(s):  
Stanisław Kozdrowski ◽  
Paweł Cichosz ◽  
Piotr Paziewski ◽  
Sławomir Sujecki
Keyword(s):  
Machine Learning ◽  
Optical Networks ◽  
Network Control ◽  
Machine Learning Algorithms ◽  
Network Reconfiguration ◽  
Wavelength Division ◽  
Network Topologies ◽  
Increasing Demand ◽  
Quality Of Transmission

Increasing demand in the backbone Dense Wavelength Division (DWDM) Multiplexing network traffic prompts an introduction of new solutions that allow increasing the transmission speed without significant increase of the service cost. In order to achieve this objective simpler and faster, DWDM network reconfiguration procedures are needed. A key problem that is intrinsically related to network reconfiguration is that of the quality of transmission assessment. Thus, in this contribution a Machine Learning (ML) based method for an assessment of the quality of transmission is proposed. The proposed ML methods use a database, which was created only on the basis of information that is available to a DWDM network operator via the DWDM network control plane. Several types of ML classifiers are proposed and their performance is tested and compared for two real DWDM network topologies. The results obtained are promising and motivate further research.

Optical Network Control and Management

2021 ◽  
pp. 457-490
Author(s):  
Debasish Datta
Keyword(s):  
Optical Networks ◽  
Performance Monitoring ◽  
Optical Network ◽  
Wdm Networks ◽  
Network Control ◽  
Telecommunication Networks ◽  
Multiprotocol Label Switching ◽  
Generalized Multiprotocol Label Switching ◽  
Automatically Switched Optical Network ◽  
Control And Management

The task of network control and management is generally realized in two logical planes – control and management – which collaboratively operate to ensure smooth, secure, and survivable traffic flow in the data plane of the network. Some of the functionalities are realized in the control plane, needing real-time execution, such as recovery from network failures, and network reconfiguration due to traffic variation. Other functionalities deal with performance monitoring, configuration management, network security, accounting and billing etc., which are less time-sensitive and are addressed by the management plane. We first discuss the philosophy of multiple-layer abstraction of telecommunication networks, including control, management, and data planes, and then describe various network control and management techniques used in optical networks: operation, administration, and management (OAM) in SONET, generalized multiprotocol label switching (GMPLS), automatically switched optical network (ASON), and software-defined optical networking (SDON) in WDM networks. (141 words)

Network Survivability in Optical Networks with IP Prospective

2008 ◽  
pp. 346-352
Author(s):  
Hongsik Choi ◽  
Seung S. Yang
Keyword(s):  
Optical Networks ◽  
State Of The Art ◽  
Network Control ◽  
Network Survivability ◽  
Wavelength Routing ◽  
Critical Importance ◽  
Link Failures ◽  
Survivable Network ◽  
Rapid Restoration ◽  
Short Network

Survivability is the ability of the network to withstand faults and attacks including equipment and link failures. The main goal of survivable network is to be able to perform fast recovering at as small cost as possible (i.e., using minimum resources). As wavelength routing network paves the way for network throughputs of possibly hundreds of Tb/s, network survivability assumes critical importance. A short network outage can lead to data losses of the order of several gigabits. Hence, protection, or dedicating spare resources in anticipation of faults, and rapid restoration of traffic upon detection of a fault are becoming increasingly important. In this paper, we will explore the state of the art in network survivability and corresponding network control issues.

Optical Networks

2021 ◽  
Author(s):  
Debasish Datta
Keyword(s):  
Optical Networks ◽  
Network Architecture ◽  
Communication Systems ◽  
Queuing Theory ◽  
Optical Network ◽  
Network Control ◽  
Access Networks ◽  
Telecommunication Networks ◽  
Passive Optical Network ◽  
Switched Networks

This book presents an in-depth deliberation on optical networks in four parts, capturing the past, present, and ensuing developments in the field. Part I has two chapters presenting an overview of optical networks and the enabling technologies. Part II has three chapters dealing with the single-wavelength optical networks: optical LANs/MANs, optical access networks using passive optical network architecture, SONET/SDH, optical transport network and resilient packet ring. Part III consists of four chapters on WDM-based optical networks, including WDM-based local/metropolitan networks (LANs/MANs) using single and multihop architectures over passive-star couplers, WDM/TWDM access networks as an extension of PONs with WDM transmission, WDM metro ring networks covering circuit-switched (using point-to-point WDM and wavelength-routed transmission) plus packet-switched architectures and WDM long-haul backbone networks presenting the offline and online design methodologies using wavelength-routed transmission. Part IV deals with some selected topics in six chapters. The first deals with transmission impairments and power-consumption issues in optical networks, while the next three chapters deal with the survivable optical networks, network control and management techniques, including GMPLS, ASON, and SDN/SDON, and datacenter networks using electrical, optical, and hybrid switching techniques. The final two chapters present elastic optical networks using flexible grid for better utilization of the optical-fiber spectrum and optical packet and burst-switched networks. The three appendices present the basics of the linear programming techniques, noise processes encountered in the optical communication systems, and the fundamentals of queuing theory and its applications in telecommunication networks. (238 words)

Energy Efficiency Analysis in Adaptive FEC-Based Lightpath Elastic Optical Networks

2015 ◽  
Vol 24 (09) ◽  
pp. 1550133 ◽  
Author(s):  
Fábio Durand ◽  
Taufik Abrão
Keyword(s):  
Energy Efficiency ◽  
Power Consumption ◽  
Optical Networks ◽  
Forward Error Correction ◽  
Optical Network ◽  
Maximum Energy ◽  
Network Control ◽  
Hop Count ◽  
Modulation Format ◽  
Adaptive Fec

In this paper, an energy efficiency (EE) analysis for elastic optical networks (EONs) considering the adaptive allocation of the transmitted power, spectrum bandwidth, modulation format and forward error correction (FEC) type has been proposed. The trade-off between the FEC coding types and the optical layer EE (OL-EE) was investigated considering the capacity of information transmission and power consumption. The power consumption model considers elements involved in the lightpath establishment, namely transmitter, receiver, bandwidth-variable optical crossconnect (BV-OXC), optical amplifiers and network control. Numerical examples have demonstrated EE increasing for the lightpaths when adaptive FEC coding is deployed; furthermore, the EE varies with the distance of the optical network nodes and hop count. In this sense, it is observed that the EE decreases with the increasing of FEC energy per bit consumption; however, an operation region is verified in which the overall EE network with FEC is superior to the system without FEC coding. After this point, the increases in the FEC energy per bit consumption will affect negatively the EE metric. For instance, with the proposed OL-EE model it is possible to determinate the maximum energy consumption allowed to the FEC codes without OL-EE system degradation.

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