emerging etsi standard on autonomic (closed-loop

Presented by:

© ETSI 2021 July 5th 2021

Dr. Benoît Radier Dr. Ranganai ChaparadzaDr. Tayeb Ben MeriemDr. Muslim Elkotob

Emerging ETSI Standard on Autonomic (Closed-Loop) Management & Control (AMC) of IMS Services, and the

value of IMS Autonomics in 5G: ETSI/INT/AFI GANA Instantiation onto IMS Architecture

ITU Workshop on “Protocol Enhancements for IMS to be used in LTE/IMT-2020 Networks and Beyond

C2 General© ETSI 2021 2

Outlook

1. The Value of Introducing Autonomics in IMS for Evolving an Future Networks (5G & Beyond)

2. IMS network environment

3. Emerging Standard on ETSI GANA instantiation onto the IMS architecture, GANA Decision Elements (DEs) in Autonomicity-enabled IMS Architecture

Node (NE/NF) level Autonomics, e.g. Self-configuration case for the HSS with associated Manage Entities (Mes)

4. Options that may be pursued in implementing GANA Knowledge Plane (KP) Platform(s) in IMS environment

5. Distributed Self-Diagnosis in IMS Services

6. Federation of Knowledge Planes (KP) Platforms for Autonomic Management & Control (AMC) in the context of IMS

E2E Autonomic QoS/QoE Management in IMS

GANA Autonomics into the IMS for the BroadBand Forum (BBF) Architecture, Value Illustration using E2E Secure Auto-Configuration for emergency call

7. Takeaways


The Value of Autonomics in IMS in Evolving&Future Networks (5G &Beyond) –Industry Move to Knowledge Planes (KPs) Driven Networking Era

1. Autonomics is about Self-configuration, Self-diagnosis, Self-protection, Self-optimization, self-awareness, and other Self-* features in the management and control operations of a component (e.g. IMS Function) and the System as a whole (e.g. IMS Platform), using Control-Loops over (re)-configurable Managed Entities (MEs) and parameters of the Component/System

2. The ETSI GANA Framework prescribes Design and Operational Principles for Autonomic Management & Control (AMC) Software Components (called Decision-making Elements (DEs) that can be instantiated and implemented in Network Elements/Functions and/or in the Management and Control realm of network architecture

3. Examples of Use Cases for Autonomic Management & Control of IMS Functions using GANA Knowledge Plane (KP) Platforms and/or by Autonomic Functions introduced and embedded within an IMS Function:

IMS Network Function (NF) Auto-Configuration and Adaptive Re-Configuration in detected or predicted situations

Energy Saving

Signalling Optimization

QoS Optimization, e.g. Latency Optimization with respect processing time at NF, E2E latency, and service delivery to Users

4. Autonomics in IMS plays an important role in the ETSI GANA Autonomic & Cognitive Management of 5G Slices & E2E Orchestration—GANA KP Platforms should collaborate in Slice (re)-creation and Assurance based on various Situations and KPIs computed by the KPs (OSS/BSS, MANO, SDN Controllers, etc, may be used in Slice Creation and KPs takeover the Assurance by adaptively re-programming OSS/BSS, MANO, SDN Controllers in adapting to situations by fixing problems in Slices


The Value of Autonomics in IMS in Evolving&Future Networks (5G&Beyond) –Industry Move to Knowledge Planes (KPs) Driven Networking Era

ETSI Standard introduces IP Multimedia Application Layer GANA Knowledge Plane (KP), IMS GANA Knowledge Plane (KP), and Transport Layer GANA Knowledge Plane (KP), and each is responsible for dynamic management and control of the Functions of its corresponding layer it is responsible for by using GANA DEs and DE Algorithms to dynamically (re)-orchestrate or (re)-configure as driven by Human Operator inputs such as service SLAs and other kinds of configuration data and situations that require the KP to compute a plan of actions to apply to the Functions of the layer.

Each of the KPs may perform the following in respect of the Functions of the Layer it is responsible for in a standalone manner and/or in collaboration with other KPs that provide it some data/information (e.g. KPIs) of relevance to the operations :

• Automated service orchestration and provisioning (via Management and Control Systems such as OSS/BSS, SDN Controllers, MANO, etc.), automatic service resilience and close-loop service adaptation to various challenges detected or predicted in the network such as faults/errors/failures and/or security-threats/attacks/risks and/or performance degradations of various service impacting entities; Autonomic Functions Orchestrations based on resilience and survivability scenarios; E2E SLAs fulfilment and Assurance by the collaboration of the KP Platforms; Security-Driven Autonomic Service Adaptation


IP Multimedia Network Environment

IMS

Fixed

network

Mobile

network

AS

UE

IP Multimedia Networks

CS

Network

Legacy mobile

signalling Networks


ETSI GANA Instantiation onto the IMS architecture, GANA Decision Elements (DEs) in Autonomicity-enabled IMS Architecture

OSS/BSS

ONIX

Network Level DEs

OsDe

OsINeI

NeMe

Network Level DEsNeDe

NoI

AMC-MBTS

GANA Knowledge Plane (KP_IMS)NeM

NeMe

NeMe

S - CSCF

MGCF HSS Cx

IM

MGW M n

Mb

Mg

MRFP

I-CSCF

Mw

Mw

Gm

Mj Mi

BGCF

Mk

UE

Mb

Mb SLF Dx

Cx

AS

ISC

Sh

Ut

BGCF

Mg

Dh

Ma

P-CSCF

Mx

Mx

Mx

TrGW IBCF

Ix

MRB

Rc

ISC

Mr

MRFC

Cr, Mr’

IMS

AGW

Mp

Mw

Iq

Ms

GANA Node DE

GANA Node DE

GANA Node DE

GANA Node DE

GANA Node DE

GANA Node DE

GANA Node DE

GANA Node DE

GANA Node DE

GANA Node DEGANA Node DE

GANA Node DE

GANA Node DEGANA Node DEGANA Node DE

GANA Node DEGANA Node DE

Slow Control LoopsWith advanced AI

Fast Control LoopsWith low AI


Node (NE/NF) level view of Self-Configuration case for the HSS with associated DEs and their Managed Entities (MEs)

DEs drive some HSS Self-Management Intelligence:

• IMS Network Function (NF) Auto-Configuration and Adaptive Re-Configuration in response detected or predicted situations

• IMS Function Resilience & Survivability

• IMS Function Security Management for Self-Protection and Self-defense

• Energy Saving

• Signalling Optimization

• Monitoring Management


Control IP Multimedia Layer

Options that may be pursued in implementing GANA Knowledge Plane (KP) Platform(s) in IMS environment

Unified IP MultimediaSubsystem

GANA Knowledge

Plane

UE

Application IP MultimediaLayer GANA Knowledge

Plane

Application IP Multimedia Layer

ApplicationServers

TAS

SCC AS

Control IP MultimediaLayer GANA Knowledge

PlaneCSCF

HSS

MRFC

MGCF

IBCF

CSCF

SLF

User IP media Layer GANA Knowledge Plane

User IP multimedia Layer

MRFP

IM MGW

TrGW

IMS AGW

Option 1 (Per Layer KP) and Federated

Option 2 (Single KP for all the IMS Layers )

CS networkCS network

IP Access networkIP Access network

IP Multimedianetwork

IP Multimedianetwork

BGCF

Option 3: Federation of the per Layer KPs through a Hierarchical KPNOTE: Types of GANA DEs that should be instantiated in specific KP depends on the Types of Managed Entities in associated Layer


Federation of Knowledge Planes (KP) Platforms for AMC in the context of IMS


E2E Autonomic QoS/QoE Management in IMS

IP Access GANA KP

Legacymobile

Networks

IMSASAccess

NetworksUE

IMS GANA KPOther Data sources KP

MONitoring KP DE

SDN Controller for the TAP & SPAN

AggregationNetworks

SDN Controller for the TAP & SPAN Aggregation

Networks

Management and control systems

Management and control Systems

Out of bandOut of band

IMS robot

MONitoring KP DE

On demand Spanning request On demand telemetry

IMS proberobot probe

MONitoring KP DE

Traffic Copy Feed KPI & Event Data FeedTraffic Copy Feed

KPI & Event Data Feed


Analyse voice call (MOS) CSfallback

Generate and analyse voice

call (MOS)

On demand Spanning request On demand telemetry

Request link quality (packtloss..) in the Access network

QoE KP DE

MRF

MRF QoE-DE

IGCF QoE-DE

IGCF

Request voice qualityIn legacy mobile network

Intent Improve MOS

IMS AGW

IMS AGW QoE-DE

Update codec list according to predicted quality link to achieve required MOSSelect appropriate MRF/IGCF/IMS AGW according to delay between UE-(IMS)-Legacy network


GANA Autonomics into the IMS for the BroadBand Forum (BBF) Architecture

BBF IP Access GANA KP

MANOSDN

Controler(ANEC)

EM/NM

Customer Prem Net

Access NetRegional

broadbandNet

RouterBRASATM switchBNGBPCF

CPEWiFi APFemtocellUser agent

Access NodeMDF

AMC-MBTS

F-MBTS ONIX

Net KP DE

Autonomic Management and Control Domain_BBF

IMS GANA KPAMC-MBTS

F-MBTSONIX

Net KP DE

Autonomic Management and Control Domain_IMS

Application IP Multimedia Layer GANA KP

IP Multimedia Application LayerApplication

Servers TASSCC AS

Control IP Multimedia Layer GANA KP

User IP media Layer GANA KP

User IP media LayerMRFPIM MGW TrGW IMS AGW

IP Multimedia control LayerCSCF HSS

MRFC

MGCFIBCF

CSCF SLFBGCF


Access NetworksIMS

Value Illustration using E2E Secure Auto-Configuration for emergency call

BBF IP Access GANA KP

UE

IMS GANA KPOther Data sources GANA

KPSecurity KP DE


Customer Prem Net

Access NetRegional

broadbandNet

ACSDHCP

Emergency Center

Autoconfigurationand discovery KP DE

DSLAM ACDE DE

IMS AGW

IMS AGW ACDE DE

ONIX ONIX ONIX

DSLAM Security DE

DHCP Security DE

CPE ACDE DE

Security KP DEAutoconfiguration

and discovery KP DE

HSS

IMS AGW Security DE

E-CSCFP-CSCF

F-MBTS F-MBTS F-MBTS F-MBTS

Retrieve (IP@ Client ID (IMS credential))

IMS Client ID, IMPU, SIPTEL, IMS credential, Client address)IP@, ligne ID, Access Client ID, Client address

IP@ ligne ID, Client ID

Add Ligne ID, Client ID option 82Client ID (IMS credential)

SIPTO 112 SIPTO P-associated URI (SIPTEL); URI Emergency locale Center

Client Address ➔ URI Emergnecy call center number

Request configurationConfigure (Ligne ID with associate Client ID)

Only ClientID with associated Ligne ID could obtain IP@) Update any P-Assocaited URI with P-associated URI: SIPTEL, IP@ = P-associated URI: SIPTEL)

IP@ = URI Emergency Locale Center

IP@ = P-associated URI: SIPTEL)

IP@, 112= URI Emergency Locale Center

Update any P-Assocaited URI with P-associated URI: SIPTEL,

Ligne ID, Client ID, IP@


GANA KP Platform Integration with various Data and Event Sources& Traffic Monitoring & Passive Probing Solutions that can feed the KP(s) with various kinds of Data (e.g. Events Data)


GANA KP Platform for Virtualized IMS: IMS KP integration with Data &

Event Sources & Traffic Monitoring and Passive Probing in a Telco-Cloud/NFV

Environment that can feed the KP with various kinds of Data (e.g. Events Data)

In 5G IMS Platforms are expected to fulfil such Requirements as: DevOps, Microservice-Based IMS Network Slicing, in an environment that provides for closed-loop to enable to automate service design, development, deployment and OAM tasks.


Takeaways

1. Benefits to Innovators and Autonomics Software Suppliers:

• ETSI Framework on GANA Instantiation onto IMS offers Innovators and Autonomics Software Suppliers guidance on how to implement GANA DEs with associated Analytics and AI Algorithms for Autonomics in IMS in Evolving and Future Networks as Industry Moves to Knowledge Planes (KPs) Driven Networking Era

• Federation of Knowledge plane is required to manage E2E services as IMS is in overlay over every IP capable networks (fixed access or mobile access networks) and it is always interconnected with Circuit switch networks and Legacy mobile signaling Networks

2. Benefits to CSPs:

• Using ETSI GANA DEs instantiated into an IMS Function offers a large spectrum of flexibility and accommodate various Business and Operational Scenarios. GANA KP Platform for IMS Layer (IMS-KP) is used for self management and control of IMS Network functions using advanced AI Algorithms and Analytics by the KP’s DEs

• DEs’ Control-loops can be implemented on any IMS NF for autonomic operations such as autonomic security management (self-protection and self-defense), Self-Configuration (Auto-configuration), Autonomic QoS/QoE Management, Autonomic Fault-Management, as DEs dynamically (re)-configure their associated Managed Entities (as prescribed the ETSI Framework)

3. Benefits to Researchers:

Researchers can now Bring Research Results to implementing products according to the ETSI Framework for implementing Autonomics in IMS

• Come Join the ongoing work in ETSI INT AFI on Autonomic in IMS, or come join our Open 5G PoC Program for a Joint Demo on Autonomic IMS in 5G ETSI/INT/AFI

C2 General

© ETSI 2020 16

BACKUP Slide: Examples of Autonomic (AMC) Operations by KPs

ETSI/INT/AFI

1. Automated service orchestration and

provisioning(via Management and Control

Systems such as OSS/BSS, SDN

Controllers, MANO, etc.), automatic service

resilience and close-loop service adaptation

to various challenges detected or predicted

in the network such as faults/errors/failures

and/or security-threats/attacks/risks and/or

performance degradations of various

service impacting entities;

2. Autonomic Functions Orchestrations based

on resilience and survivability scenarios;

3. E2E SLAs Fulfilment and Assurance by the

collaboration of the KP Platforms

4. Security-Driven Autonomic Service

Adaptation

Option 3: Federation of the per Layer KPs through a

Hierarchical KP

emerging etsi standard on autonomic (closed-loop

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