A survey of autonomic networking architectures: towards a Unified Management Framework

Abstract

SUMMARY Academic and industrial research initiatives have sought to make fully autonomic networks a reality. Some of these initiatives pursued a holistic approach, while others focused on setting up functionalities for specific networking domains. These efforts did not succeed in being extensively deployed, because the goals of network operators were not satisfactorily met. These goals include unification of management operations, enablement of end‐to‐end management and enhancement of the overall system performance in a trusted way, while reducing management cost. In this paper, we analyse a set of existing autonomic management architectures and frameworks with respect to a selected set of criteria. We then identify missing parts and challenges and propose a framework to unify the most promising attributes towards a novel approach of realization of autonomic networking management. We call this proposal Unified Management Framework (UMF). Copyright © 2013 John Wiley & Sons, Ltd.

Extendable NFV-Integrated Control Method Using Reinforcement Learning

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“…However, it is not extendable because we need to reconstruct the problem formula every time the combina-Copyright © 2020 The Institute of Electronics, Information and Communication Engineers tion of control metrics changes. The other is the coordinated approach [16]- [18], which involves using an extendable control architecture that coordinates multiple control algorithms pre-specified for individual control metrics. Though an extendable control architecture has been proposed, this architecture is only a concept and no specific implementation or formulation is described.…”

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