From 505b2d992907ee88473ca038449c388aa99f37d8 Mon Sep 17 00:00:00 2001 From: liuwh7 Date: Tue, 9 Mar 2021 16:47:47 +0800 Subject: docs:doc Change-Id: Ic5f9950a5b97746108c852ea69e508feacfd843c Signed-off-by: liuwh7 Issue-ID: USECASEUI-525 --- docs/docs_intent_based_network.rst | 79 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 79 insertions(+) create mode 100644 docs/docs_intent_based_network.rst (limited to 'docs/docs_intent_based_network.rst') diff --git a/docs/docs_intent_based_network.rst b/docs/docs_intent_based_network.rst new file mode 100644 index 00000000..760cdb1d --- /dev/null +++ b/docs/docs_intent_based_network.rst @@ -0,0 +1,79 @@ +.. 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 +------------------ -- cgit 1.2.3-korg