Reprint

Recent Advances in Information-Centric Networks (ICNs)

Edited by
February 2024
200 pages
  • ISBN978-3-0365-9857-4 (Hardback)
  • ISBN978-3-0365-9858-1 (PDF)

This book is a reprint of the Special Issue Recent Advances in Information-Centric Networks (ICNs) that was published in

Computer Science & Mathematics
Summary

The Internet's great success has been essentially based on the simplicity and versatility of its TCP/IP architecture, as it imposes almost no restrictions on either the underlying network technology or the data being transmitted. In essence, applications built on top of TCP/IP get a point-to-point channel that can be used to transmit arbitrary information. This approach has served quite satisfactorily for many years, but it is no longer well suited to some of the new communication paradigms now being used on the Internet. Nowadays, most applications running on top of the Internet are no longer interested in using a point-to-point channel to exchange traffic between two endpoints. In contrast, what they want is to obtain some piece of information that is available in the network somewhere. The current use of load balancers and cache overlay networks is an interim solution to address this mismatch between the network communication model and the needs of applications, but such a solution suffers from significant shortcomings. Information-centric networks (ICNs), particularly Named Data Networking (NDN) and CCNx, offer a service where users can directly obtain information, regardless of location. This service suits current network uses and can provide the traditional point-to-point communication service if desired. This Special Issue highlights and presents recent advances in different problems related to using information-centric network architecture.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
in-network storage; load balancing; locally cooperative storage; an IP-compatible ID based protocol; named data network; cache strategy; machine learning; placement strategy; name classification; resource allocation; Named Data Network; cache; weight; class; priority; Internet of Vehicles; AI; edge intelligence; information-centric network; edge computing; mobile networks; Named Data Networks; performance evaluation; smart city; NDN; LEO; ICN; routing; forwarding; multipath transmission; path selection; path switching; ICN; information-centric networking; replica selection; name resolution; blockchain; data authentication; Named Data Networking (NDN); Future Internet Architecture (FIA); vehicular networks; information-centric networking; software-defined networking; graph neural network; deep reinforcement learning; intelligent caching; n/a