Autonomic network management principles : from concepts to applications / Nazim Agoulmine.

Autonomic networking aims to solve the mounting problems created by increasingly complex networks, by enabling devices to decide, without human intervention, what to do at any given moment, and ultimately to create self-managing networks that can interface with each other, self-adapting their behavi...

Full description

Saved in:
Bibliographic Details
Main Author: Agoulmine, Nazim
Format: eBook
Language:English
Published: Burlington, MA : Academic Press/Elsevier, ©2011.
Subjects:
Online Access:Click for online access
Table of Contents:
  • General Introduction and Principles; What is the situation today and why it is important to investigate into new approaches?; What is the vision of autonomic network management?; What can autonomic principles could add to existing management solutions?; What are the existing autonomic techniques? Where have they been successfully applied?; Why is it a challenge to apply them to build autonomic network management solutions?; Structure of the book; Autonomic Network Management Architectures and Applications; Autonomic Management in RAN; Management of Ambient Networks; Autonomic Network Architecture; FOCALE Autonomic Network Management Architecture; Autonomic Architecture for WSN Management; Techniques and Mechanisms for Autonomics Network Management; Bio-Inspired Autonomic Routing; Autonomic Capacity Planning in Beyond 3G Networks; Self-organizing Network Architecture for Scalable, Adaptive, and Robust Networking; ANEMA Knowledge Plan Construction for Autonomic Management; Autonomic Security Management; Conclusion and General Recommendations for Future Autonomic Network Management Architectures; What are the lessons learned from these projects?; Is it possible to unify the architecture and approaches (BAN, HAN, LAN, WAN)?; Should we have one Autonomic Architecture or several Architectures?; Are the different approaches using similar knowledge engineering approaches?; Is it possible to unify the knowledge engineering part only? What more is needed?; What are the final recommendations to build efficient, scalable, reliable autonomic networks?