ETSI TC INT has published ETSI TR 103 626 on 17 February 2020. An Instantiation and Implementation of the Generic Autonomic Network Architecture (GANA) Model onto Heterogeneous Wireless Access Technologies using Cognitive Algorithms.

TR 103 626 for Int blog

This Technical Report provides a mapping of architectural components for Autonomic Network Management & Control developed/implemented in the European Commission (EC) funded WiSHFUL and ORCA Projects to the ETSI TC INT AFI Generic Autonomic Networking Architecture (GANA) model - an architectural reference model for autonomic networking, cognitive networking and self-management.

The mapping pertains to architectural components for autonomic decision-making and associated control-loops in wireless network architectures and their associated management and control architectures.

The objective is to:

  1. Illustrate how the GANA model (TS 103 195-2) can be implemented using the components developed in the WiSHFUL and ORCA Projects.
  2. Show the extent to which the WiSHFUL architecture augmented with some virtualization and hardware acceleration techniques, developed in the ORCA project, implements the GANA model, in order to guide the industry (implementers of autonomics components for autonomic networks and their associated autonomic management & control architectures) on how to leverage this work in their efforts on GANA implementations.

The mapping of the components to the GANA model concepts serves to illustrate how to implement the key abstraction levels for autonomics (self-management functionality) in the GANA model for the targeted wireless networks context, taking into consideration the work done in ETSI TR 103 495 and where GANA Cognitive algorithms for autonomics (such as Machine Learning and other AI algorithms) can be applied.