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authorzhaoyh6 <zhaoyh6@asiainfo.com>2022-09-21 16:47:22 +0800
committerzhaoyh6 <zhaoyh6@asiainfo.com>2022-09-21 16:47:28 +0800
commitb4f5d835c4263624c074689f9041d7b0fee55c1d (patch)
treeb3cdd9528675598da6a03ffec6b50ff0d8ca9cb9 /docs
parent3291585870530f3421b5dbc39a93c722e10cc3fc (diff)
Maintenance and Enhancement of Intent-driven Closed-loop Autonomous Networks in R11
Issue-ID: REQ-1214 Signed-off-by: zhaoyh6 <zhaoyh6@asiainfo.com> Change-Id: Idc01aeca3452148f73b8ae98077196caceb948ba
Diffstat (limited to 'docs')
-rw-r--r--docs/docs_intent_based_network.rst22
1 files changed, 13 insertions, 9 deletions
diff --git a/docs/docs_intent_based_network.rst b/docs/docs_intent_based_network.rst
index 088faffa..24c18184 100644
--- a/docs/docs_intent_based_network.rst
+++ b/docs/docs_intent_based_network.rst
@@ -32,6 +32,10 @@ In R10, the closed-loop will be developed to support the smart Intent E2E Slicin
REQ-1075 Network Services without Perception for Users based on IBN
In R10, Network Services without perception for users based on IBN will be developed to support the E2E Slicing and CCVPN.
+REQ-1214 Maintenance and Enhancement of Intent-driven Closed-loop Autonomous Networks in R11
+Based on the closed-loop automation of ONAP, the proposal of Intent-driven Closed-loop Autonomous Networks is proposed for the smart operation of networks. In R11, the proposal enhances the functions of intent interaction and intent guarantee for CCVPN and E2E Slicing usecases.
+
+
Abbreviations
-------------
@@ -63,12 +67,12 @@ 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.
Scope of Istanbul release
------------------------
-The scope for Istanbul developed in AAI focuses on Intent Instance Management
-
-The storage and management of AAI-based Intent Instance are realized in the R9 version.
-Intent Instance is created to save the users' real-time intent (network parameters) and connected service ID (CCNVPN service ID / E2E Slicing customer service intent ID) in AAI.
-
+-----------------------
+The scope for Istanbul developed in AAI focuses on Intent Instance Management
+
+The storage and management of AAI-based Intent Instance are realized in the R9 version.
+Intent Instance is created to save the users' real-time intent (network parameters) and connected service ID (CCNVPN service ID / E2E Slicing customer service intent ID) in AAI.
+
The user's intent is stored from the UUI or SO to the intent instance in the AAI, and then DCAE calls the intent instance in the AAI through the interface.
Impacted Modules for Honolulu
@@ -84,9 +88,9 @@ the natural language, which then sends the user input to the IBN component and d
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.
-Target of R9: support multiple usecase services, so it is not a sub-node of any usecase in AAI.
-
-The IBN will be expect to provide unawares service to users. Multiple usecases services could be changed by IBN instead of the users, so it should be an independent node in AAI.
+Target of R9: support multiple usecase services, so it is not a sub-node of any usecase in AAI.
+
+The IBN will be expect to provide unawares service to users. Multiple usecases services could be changed by IBN instead of the users, so it should be an independent node in AAI.
Functional Test Cases