Autonomic Computing and Networking presents introductory and
advanced topics on autonomic computing and networking with emphasis
on architectures, protocols, services, privacy & security,
simulation and implementation testbeds. Autonomic computing and
networking are new computing and networking paradigms that allow
the creation of self-managing and self-controlling computing and
networking environments using techniques such as distributed
algorithms and context-awareness to dynamically control networking
functions without human interventions. Autonomic networking is
characterized by recovery from failures and malfunctions, agility
to changing networking environment, self-optimization and
self-awareness. The self-control and management features can help
to overcome the growing complexity and heterogeneity of exiting
communication networks and systems. The realization of fully
autonomic heterogeneous networking introduces several research
challenges in all aspects of computing and networking and related
fields.
General
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