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This paper explores and proposes the use of open programmable router technologies to achieve dynamic configuration, adaptation and management of network entities.
We refer to the problem related to the first approach as dynamic configuration adaptation (DCA) problem.
No complex configuration adaptation decision making engine was found in the literature based on such techniques.
Thus, spectrum management problems are, from the equipment point of view, but a subset of configuration adaptation problems.
Finally, based on the here above presented analysis, all configuration adaptation problems seem to have the same roots.
Consequently, we suggested the "a priori knowledge" as a classification criteria to discriminate the main proposed techniques in the literature to solve configuration adaptation decision making problems.
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On this configuration, the adaptation allows to reach 3.64% CER (12.33% relative gain).
Previous work has shown the need to adapt the configuration of Link Adaptation to certain operating conditions affecting the channel quality dynamics.
In particular, it was shown that the system load can considerably influence the performance and configuration of Link Adaptation techniques.
Our vision, developed in the so-called Simplicity project, is based on a personalization device, which, together with a brokerage framework, offers transparent service configuration and runtime adaptation, according to user preferences and computing/networking context conditions.
By systematically integrating considerations associated with local embedded processing, classifier configuration, data-driven adaptation and networked com- munication, our approach allows for effective assessment, prototyping, and implementation of alternative distributed design methods for data-driven, adaptive stream mining systems.
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