Cross-layer Optimisations for Autonomic Networks
Mohammad A. Razzaque, Simon Dobson, Paddy Nixon · Birkhäuser Basel eBooks · 2007
Autonomic communication aims to build more reflective systems with properties like self-healing, self-organisation, self-optimisation and so forth — the so-called “self-*” properties. To attain this within the existing strictly-layered approaches to network software may be possible to certain extent, but will not leverage all the possible optimisations, and we suggest that cross-layer architectures are better-suited to achieving the self-* properties. This paper explores the possibilities of cross-layering approaches in autonomic networks, reviews and compares the different cross-layer approaches to network architecture, observing that most current approaches depend purely on local information and provide only poor and inaccurate information gathering at the network level. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.