Contact:Dong Wang (wangd5@chinatelecom.cn), China Telecom
Co-contributors
China Telecom:Xin ZhangHuang ZongHe
HUAWEI:wangyaoguang
Requirement Overview & Description
A lightweight and high-cohesion Nature Language Processing (NLP) function is proposed to add in the UUI project, in order to translate the network operation engineers’ text/voice intents to the suitable slicing parameters quickly and decrease the manual configurations.
Smart Operator Intent Translation in UUI based on IBN - R8 5G Slicing Support:
- Executive Summary - 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. In R8, the smart operator intent translation function is proposed to support the 5G slicing selection of current E2E usecase in UUI.
- Business Impact - In 5G networks, dozens of slice templates will be created to support different SLA requirements. It is difficult for the operators to select the target slice and create the slice instance manually. The IBN based smart operator intent translation function is applied to select the target slice automatically and accurately.
- Business Markets - Currently, the smart operator intent translation function is developed to support the 5G slice selection. In the further releases, it will be improved to support multiple network configurations in ONAP.
- Funding/Financial Impacts - This function will have OPEX savings by selecting more accurately slices to save the network resources, and decreasing the labor cost using automation technology.
- Organization Mgmt, Sales Strategies -There is no additional organizational management or sales strategies for this requirement outside of a service providers "normal" ONAP deployment and its attendant organizational resources from a service provider.
Use Case Key Information
TOPIC | DESCRIPTION | WIKI PAGE |
Requirements Proposal | Honolulu release - functional requirements proposed list#SmartOperatorIntentTranslationinUUIbasedonIBN-R85GSlicingSupport | |
Architecture S/C info | ONAPARC-641 | (*) Honolulu-R8 Functional Requirements Architecture ReviewsTracking Table |
Prior Project "Base" Wiki | ||
Requirements Jira (REQ-###) Ticket | REQ-453 | |
Key Use Case Leads & Contacts | ||
Meetings Register & Recordings |
BUSINESS DRIVER
This section describes Business Drivers needs. These business drivers are presented on the Requirements Sub-committee and should also be put into the release requirements sub-committee page.
Executive Summary - 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. In R8, the smart operator intent translation function is proposed to support the 5G slicing selection of current E2E usecase in UUI.
Business Impact - In 5G networks, dozens of slice templates will be created to support different SLA requirements. It is difficult for the operators to select the target slice and create the slice instance manually. The IBN based smart operator intent translation function is applied to select the target slice automatically and accurately.
Business Markets - Currently, the smart operator intent translation function is developed to support the 5G slice selection. In the further releases, it will be improved to support multiple network configurations in ONAP.
Funding/Financial Impacts - This function will have OPEX savings by selecting more accurately slices to save the network resources, and decreasing the labor cost using automation technology.
Organization Mgmt, Sales Strategies - There is no additional organizational management or sales strategies for this use case outside of a service providers "normal" ONAP deployment and its attendant organizational resources from a service provider.
Development Status
PROJECT | PTL | User Story / Epic | Requirement |
A&AI | |||
AAF | |||
APPC | |||
CLAMP | |||
CC-SDK | |||
DCAE | |||
DMaaP | |||
External API | |||
HOLMES | |||
MODELING | |||
Multi-VIM / Cloud | |||
OOF | |||
OOM | |||
POLICY | |||
PORTAL | |||
SDN-C | |||
SDC | |||
SO | |||
VID | |||
VF-C | |||
VNFRQTS | |||
VNF-SDK | |||
CDS |
List of PTLs:Approved Projects
*Each Requirement should be tracked by its own User Story in JIRA
USE CASE DIAGRAM
Use cases define how different users interact with a system under design. Each use case represents an action that may be performed by a user (defined in UML as an Actor with a user persona).
Use Case Functional Definitions
Use Case Title | Smart Operator Intent Translation in UUI based on IBN - R8 5G Slicing Support |
Actors (and System Components) | UUI |
Description | A lightweight and high-cohesion Nature Language Processing (NLP) function is proposed to add in the UUI project, in order to translate the network operation engineers’ text/voice intents to the suitable slicing parameters quickly and decrease the manual configurations. |
Points of Contact | |
Preconditions | |
Triggers / Begins when | |
Steps / Flows (success) | |
Post-conditions | |
Alternate / Exception Paths | |
Related Use Cases | |
Assumptions | |
Tools / References / Artifacts |
TESTING
Current Status
Testing Blockers
- High visibility bugs
- Other issues for testing that should be seen at a summary level
- Where possible, always include JIRA links
End to End flow to be Tested
**This should be a summary level Sequence diagram done in Gliffy**
Test Cases and Status
1 | There should be a test case for each item in the sequence diagram | NOT YET TESTED |
2 | create additional requirements as needed for each discreet step | COMPLETE |
3 | Test cases should cover entire Use Case | PARTIALLY COMPLETE |