Optical Network Design and Modeling

Optical Network Design and Modeling: 23rd IFIP WG 6.10 International Conference, ONDM 2019

English | ISBN: 303038084X | 2020 | 661 Pages | EPUB, PDF | 60 MB

This book constitutes the refereed proceedings of the 23rd International IFIP conference on Optical Network Design and Modeling, ONDM 2019, held in Athens, Greece, in May 2019. The 39 revised full papers were carefully reviewed and selected from 87 submissions. The papers focus on cutting-edge research in established areas of optical networking as well as their adoption in support of a wide variety of new services and applications. This involves the most recent trends in networking including 5G and beyond, big data and network data analytics, cloud/edge computing, autonomic networking, artificial intelligence assisted networks, secure and resilient networks, that drive the need for increased capacity, efficiency, exibility and adaptability in the functions that the network can perform. In this context new disaggregated optical network architectures were discussed, exploiting and integrating novel multidimensional photonic technology solutions as well as adopting open hardware and software platforms relying on software defined networking (SDN), and network function virtualization (NFV) to allow support of new business models and opportunities.



[Fast Download] Optical Network Design and Modeling

Related eBooks:
The Cyber Patient
Multicore Computing
Internet Computing
Machine Ethics
Introducing Jakarta EE CDI
Pro T-SQL 2019
The Design of an Optimizing Compiler
Silverlight 2
Linux Pocket Guide: Essential Commands
Comprehensive Mathematics for Computer Scientists, 2 Volumes
New Perspectives on Computer Concepts 2012: Introductory, 14th Edition
Learning FPGAs: Digital Design for Beginners with Mojo and Lucid HDL
Copyright Disclaimer:
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.