The phrase "autonomic network" is correct and usable in written English.
It can be used in discussions related to computer networks, telecommunications, or systems that can manage themselves without human intervention.
Example: "The development of autonomic networks is crucial for improving the efficiency and reliability of modern communication systems."
Alternatives: "self-managing network" or "self-organizing network".
This analysis sets the stage for an extensive discussion of the enabling concepts of autonomic network management, followed by a survey of research projects targeting the advancement of the autonomic networking vision.
This paper concludes with a discussion on the implementation of our autonomic network management framework and with a use case that shows the performance of the proposed approach.
To advance the autonomic network management, the authors also propose a novel idea of self-learning that enables the meta-learning vision.
Having identified incomplete realizations of autonomic network management due to simplifying assumptions, this paper focused on the relevant aspects of architectural construction with the presentation of the core challenges to be addressed so as to realize a fully autonomic network management framework.
The hierarchical architecture of self-modules can also be found in autonomic computing and the autonomic network, but the idea is different by organizing the whole network system following the self-organization principle.
Despite the numerous efforts made in this area, as yet there is no agreement on either the architecture of autonomic networks or autonomic network management, nor is there any consensus on the knowledge plane.
The series contains monographs, lecture notes and edited volumes in the Internet of Things research and development area, spanning the areas of wireless sensor networks, autonomic networking, network protocol, agent-based computing, artificial intelligence, self organizing systems, multi-sensor data fusion, smart objects, and hybrid intelligent systems.
This work focuses on an implementation of an autonomic network-aware meta-scheduling architecture that is capable of adapting its behavior to the current status of the environment, so that jobs can be efficiently mapped to computing resources.
Konstantinou, Alexander V. Towards Autonomic Networks.
This paper considers the 'self-healing' aspect of autonomic networks, examining, in particular, techniques for event correlation to aid fault identification.
In this paper, we propose a decision-theoretic framework to systematically analyze ADRS in autonomic networks, with an objective to achieve its cost-sensitive and self-optimizing operation.
