Autonomic networking aims to solve the mounting problems created
by increasingly complex networks, by enabling devices and
service-providers to decide, preferably without human intervention,
what to do at any given moment, and ultimately to create
self-managing networks that can interface with each other, adapting
their behavior to provide the best service to the end-user in all
situations.
This book gives both an understanding and an assessment of the
principles, methods and architectures in autonomous network
management, as well as lessons learned from, the ongoing
initiatives in the field. It includes contributions from industry
groups at Orange Labs, Motorola, Ericsson, the ANA EU Project and
leading universities. These groups all provide chapters examining
the international research projects to which they are contributing,
such as the EU Autonomic Network Architecture Project and Ambient
Networks EU Project, reviewing current developments and
demonstrating how autonomic management principles are used to
define new architectures, models, protocols, and mechanisms for
future network equipment.
Provides reviews of cutting-edge approaches to the management of
complex telecommunications, sensors, etc. networks based on new
autonomic approaches. This enables engineers to use new autonomic
techniques to solve complex distributed problems that are not
possible or easy to solve with existing techniques.Discussion of
FOCALE, a semantically rich network architecture for coordinating
the behavior of heterogeneous and distributed computing resources.
This provides vital information, since the data model holds much of
the power in an autonomic system, giving the theory behind the
practice, which will enable engineers to create their own solutions
to network management problems.Real case studies from the groups in
industry and academia who work with this technology. These allow
engineers to see how autonomic networking is implemented in a
variety of scenarios, giving them a solid grounding in applications
and helping them generate their own solutions to real-world
problems.
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