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.. contents::
:depth: 3
..
.. _docs_intent_based_network:
Intent Based Network
=============================
Overall Blueprint
-----------------
Intent-based network (IBN) is a self-driving network that uses decoupling
network control logic and closed-loop orchestration techniques to automate
application intents. An IBN is an intelligent network, which can automatically
convert, verify, deploy, configure, and optimize itself to achieve target
network state according to the intent of the operators, and can automatically
solve abnormal events to ensure the network reliability.
REQ-453 Smart Operator Intent Translation in UUI based on IBN - R8 5G Slicing Support
In R8, the smart operator intent translation function is proposed to support
the 5G slicing selection of current E2E usecase in UUI.
The target architecture of the Intent-Based Network is divided into a Intent
orchestration layer (hereinafter referred to as the Intent layer), a control
layer and a network layer.
Abbreviations
-------------
+---------------+--------------------------------------------+
| Abbreviation | Meaning |
+===============+============================================+
| IBN | Intent Based Network |
+---------------+--------------------------------------------+
Scope of Honolulu release
-----------------------
The scope for Honolulu developed in UUI includes GUI, UUI-server, and NLP.
GUI
- Services
- 5G Slicing Management
- Package Management
- NLP Model resource
Server
- Intent Management Module
NLP Server
(new Micro-service)
Three NLP algorithms are considered to be applied in current solutions:
- BERT (Bidirectional Encoder Representations from Transformers)：developed by researchers at Google AI Language. It has caused a stir in the Machine Learning community by presenting state-of-the-art results in a wide variety of NLP tasks. BERT’s key technical innovation is applying the bidirectional training of Transformer, a popular attention model, to language modelling.
Impacted Modules for Honolulu
---------------------------
U-UI
~~~~
Target of R8: translate from the human inputs to the slice parameters based on NLP
in UUI, and then run the slices based on the current ONAP.
A new page is required in the UUI that users can enter network requirements through
the natural language, which then sends the user input to the IBN component and displays
the response information to the user. This process can be repeated several times
until the dialog completes and a new Intent is formed in the IBN component.
Functional Test Cases
---------------------
Operation Guidance
------------------
|
