Elastic Optical Networks by Víctor López & Luis Velasco
Author:Víctor López & Luis Velasco
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham
6.5.2 Need for Multidimensionality in Future Optical Nodes
Multidimensionality in optical networks refers to the different number of dimensions that can be supported by the network elements or nodes in a network for transmission, control and management of optical signals carrying information. Mainly, these dimensions in combination offer salient advantages to the optical networks since not only the network capacity is increased considerably but also optical networking system features are enhanced, allowing different network limitations to be overcome. However, advanced future optical nodes require certain system attributes to be able to cope with the dynamic network traffic and the expected new services demanded by the network users. In addition, it is important to provide a node architecture that is able to support a simple single-dimension single-function node evolvable and scalable to multiple ones where and when needed. To address this, the functional elements of the node should be decoupled from the input and output fibers. Thus, future network elements are expected to operate in combination with multiple dimensions, allowing a number of new benefits to the network.
Based on these node requirements, a node design paradigm has been presented in [37] and its architecture is shown in Fig. 6.20. This Architecture on Demand (AoD) node consists of an optical backplane, connected to several signal processing modules, such as SSS, fast switch, Erbium-Doped Fiber Amplifier (EDFA) , spectrum defragmenter, etc., and the node’s inputs and outputs. With this architecture, different arrangements of inputs, modules and outputs can be constructed by setting up appropriate cross-connections in the optical backplane. This AoD node observes a higher level of flexibility compared to Broadcast-and-Select (BS) and the Spectrum Routing (SR) architectures as the components used for optical processing are not hardwired like in a static architecture but can be interconnected together in an arbitrary manner.
Fig. 6.20 Architecture on Demand (AoD) node
Download
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
The Mikado Method by Ola Ellnestam Daniel Brolund(25294)
Hello! Python by Anthony Briggs(24339)
Secrets of the JavaScript Ninja by John Resig Bear Bibeault(23434)
Kotlin in Action by Dmitry Jemerov(22512)
The Well-Grounded Java Developer by Benjamin J. Evans Martijn Verburg(21976)
Dependency Injection in .NET by Mark Seemann(21848)
OCA Java SE 8 Programmer I Certification Guide by Mala Gupta(20715)
Algorithms of the Intelligent Web by Haralambos Marmanis;Dmitry Babenko(19523)
Grails in Action by Glen Smith Peter Ledbrook(18609)
Adobe Camera Raw For Digital Photographers Only by Rob Sheppard(17034)
Sass and Compass in Action by Wynn Netherland Nathan Weizenbaum Chris Eppstein Brandon Mathis(15843)
Secrets of the JavaScript Ninja by John Resig & Bear Bibeault(13693)
Test-Driven iOS Development with Swift 4 by Dominik Hauser(11857)
Jquery UI in Action : Master the concepts Of Jquery UI: A Step By Step Approach by ANMOL GOYAL(11151)
A Developer's Guide to Building Resilient Cloud Applications with Azure by Hamida Rebai Trabelsi(10626)
Hit Refresh by Satya Nadella(9202)
The Kubernetes Operator Framework Book by Michael Dame(8570)
Exploring Deepfakes by Bryan Lyon and Matt Tora(8413)
Robo-Advisor with Python by Aki Ranin(8361)