Standard

The document contains a description of scenarios, use cases, and definition of requirements for the autonomic/self-managing future internet. Scenarios and use cases selected in the present document reflect real-world problems which can benefit from the application of autonomic/self-management principles. Two types of high-level requirements are covered:

1. basic requirements that enable to derive an architectural reference model for introducing Autonomic Management & Control (AMC) of networks (resources, protocols, parameters) and services in various reference network architectures;
2. specific requirements pertaining to aspects requiring "automation" and "behaviour" in a particular network/service management problem.

This Technical White Paper No.1 is about Demo-1 and Demo-2 (of a series of Demos planned for 2018/2019 and beyond) of the ETSI PoC (Proof-Of-Concept) on 5G Network Slices Creation, Autonomic & Cognitive Management and E2E Orchestration; with Closed-Loop (Autonomic) Service Assurance for Network Slices; using the Smart Insurance IoT Use Case. The Technical White Paper covers the following key topics in the target of operationalizing the ETSI GANA Model Standard (ETSI TS 103 195-2) in the context of 5G Networks and reveals Gaps in Standards that should be addressed by the industry while implementing GANA autonomics (control-loops) in network architectures and associated management and control architectures. The following aspects are covered in the results of the PoC:

• Brief introduction to the ETSI GANA Model for Autonomic Networking, Cognitive Networking and Self-Management 3. Decision Elements (DEs) as the autonomic management and control services that dynamically(adaptively) program (configure) specific Management Entities (MEs) embedded within Network Elements (NEs) or Network Functions (NFs) or Services associated with an NF
• Collaboration/Coordination of Autonomic Functions (DEs) through synchronization of actions/policies on the programming of their corresponding Managed Entities (MEs)
• Multi-Layer Autonomics and the integration of the GANA Knowledge Plane with Orchestrators, SDN Controllers, and OSS/BSS systems
• Technical view of the Overall 5G PoC
• The Four 5G Applications considered in the Overall 5G PoC’s Network Slicing Use Cases
• 5G Slice Provider and Consumer Business View of the Overall PoC (consisting of multiple Demo Cases executed and in plan for 2018/2019 timeframe)
• Vendors’ Business View of the Overall 5G PoC: Supplying GANA conformant Software for E2E Autonomic (Closed-Loop) Service Assurance for 5G Network Slices and required Programmable Traffic Monitoring Fabrics and Solutions for Orchestrated Assurance
• Demo-1: Smart Insurance Providers as Key Requesters and Consumers of 5G Network Slices Delivered by Service Providers in fulfilment of Slice Requests (Showcase by QualyCloud)
• Demo-2: C-SON Evolution for 5G, Hybrid-SON Mappings to the ETSI GANA Model; Federation of GANA Knowledge Planes to achieve E2E Autonomic (Closed-Loop) Service Assurance for 5G Network Slices—through a Real Implementation by Cellwize
• ETSI-GANA Model as key Enabler for 5G: High Level Design Principle 13. Federation of GANA Knowledge Planes for E2E Autonomic (Closed-Loop) Service Assurance across various network segments/domains
• Summary of Further Plans on Demo series planned for the overall 5G PoC in the timeframe 2018/2019 and beyond

This Technical White Paper No.2 is about Demo-2 (of a series of Demos planned for 2018/2019 and beyond) of the ETSI PoC (Proof-Of-Concept) on 5G Network Slices Creation, Autonomic & Cognitive Management and E2E Orchestration; with Closed-Loop (Autonomic) Service Assurance for Network Slices; using the Smart Insurance IoT Use Case.

The Technical White Paper covers the following key topics in the target of operationalizing the ETSI GANA Model Standard (ETSI TS 103 195-2) in the context of 5G Networks and reveals Gaps in Standards that should be addressed by the industry while implementing GANA autonomics (control-loops) in network architectures and associated management and control architectures. The following aspects are covered in the results of the PoC:

• Brief introduction to the ETSI GANA Model for Autonomic Networking, Cognitive Networking and Self-Management
• GANA Decision-Elements/Engines(DEs) as “AMC Services” that dynamically manage and control specific Managed Entities (MEs) embedded within NEs/NFs
• Collaboration/Coordination of Autonomic Functions (DEs) through synchronization of actions/policies on programming their corresponding Managed Entities (MEs)
• Multi-Layer Autonomics and the integration of the GANA Knowledge Plane with Orchestrators, SDN Controllers, Big-Data for Autonomic (closed-loop) Service Assurance, and OSS/BSS systems
• Overall ONAP to GANA Mappings and How ONAP can be used to implement GANA Knowledge Plane Components, and Advancing ONAP accordingly
• Using ONAP Components to Implement GANA Knowledge Planes and Advancing ONAP accordingly—using C-SON – ONAP Architecture as an illustration on GANA Knowledge Plane for the RAN (Radio Access Network)—an implementation by Cellwize
• Using ONAP with other Open Source Products to implement GANA Knowledge Planes for other Network Segments/Domains other than the GANA Knowledge Plane for RAN (C-SON)
• Federation of GANA Knowledge Planes for E2E Autonomic (Closed-Loop) Service Assurance across various network segments/domains
• On APIs (Application Programming Interfaces) that need to be considered in implementing a GANA Knowledge Plane
• Vendors’ Business View of the Overall 5G PoC: Supplying ONAP based GANA Knowledge Planes Software/Platforms for E2E Autonomic (Closed-Loop) Service Assurance for 5G Network Slices

This Technical White Paper No.3 is about Demo-3 (of a series of Demos planned for 2018/2019 and beyond) of the ETSI PoC (Proof-Of-Concept) on 5G Network Slices Creation, Autonomic & Cognitive Management and E2E Orchestration; with Closed-Loop (Autonomic) Service Assurance for Network Slices; using the Smart Insurance IoT Use Case.

The Technical White Paper covers the following key topics in the target of operationalizing the ETSI GANA Model Standard (ETSI TS 103 195-2) in the context of 5G Networks and reveals Gaps in Standards that should be addressed by the industry while implementing GANA autonomics (control-loops) in network architectures and associated management and control architectures. The following aspects are covered in the results of the PoC:

• Brief introduction to the ETSI GANA Model for Autonomic Networking, Cognitive Networking and Self-Management
• GANA Decision-Elements/Engines(DEs) as “AMC Services” that dynamically manage and control specific Managed Entities (MEs) embedded within NEs/NFs
• Collaboration/Coordination of Autonomic Functions (DEs) through synchronization of actions/policies on programming their corresponding Managed Entities (MEs)
• Multi-Layer Autonomics and the integration of the GANA Knowledge Plane (KP) with other systems, e.g. with Orchestrators, SDN Controllers, and OSS/BSS or Configuration Management Systems
• The Objectives being addressed by Demo-3 of the ETSI PoC
• Capabilities of Big Switch Networks for Programmable Traffic Monitoring Fabrics that meet the Outlined Telecom Operators’ Requirements in line with the ETSI GANA Framework Principles
• “Knowledge Plane-Driven” Orchestration—based on Business Goal Incentives or Autonomic Remediation Strategies Execution by the KP; and Selective Multi-Layer Programming Targets by KP Autonomics
• Vendors’ Business View of the Overall 5G PoC
• Four Examples of the 5G Applications being considered in the Overall 5G PoC’s Network Slicing Use Cases
• Technical view of the Overall 5G PoC
•  QoS Framework on Flow-Oriented (Flow-Level) Services & Telemetry Services delivered within a specific 5G Slice Type and varying in QoS Classes; Prioritization of Slices; and Definitions of QoS Classes and SLAs as inputs to Autonomic Service Assurance
• ETSI-GANA Model as key Enabler for 5G: High Level Design Principle
• Federation of GANA Knowledge Planes for E2E Autonomic (Closed-Loop) Service Assurance across the various network segments/domains
• Conclusions
• Further Work (beyond Demo-3) on Programmable Traffic Monitoring Services in NFV environments
• On ETSI TC INT AFI WG and its Liaisons with other SDOs/Fora on GANA Autonomics in various Architecture Scenarios

This Technical White Paper No.5 is about Demo-4 (of a series of Demos planned for 2018/2019 and beyond) of the ETSI PoC (Proof-Of-Concept) on 5G Network Slices Creation, Autonomic & Cognitive Management and E2E Orchestration; with Closed-Loop (Autonomic) Service Assurance for Network Slices; using the Smart Insurance IoT Use Case.

The Technical White Paper covers the following key topics in the target of operationalizing the ETSI GANA Model Standard (ETSI TS 103 195-2) in the context of 5G Networks and reveals Gaps in Standards that should be addressed by the industry while implementing GANA autonomics (control-loops) in network architectures and associated management and control architectures. The following aspects are covered in the results of the PoC:

• The Newly Launched Work Item (WI) in ETSI TC INT on "AI in Test Systems and Testing AI Models", and the call for contributions to WI
• The Benefits AI brings to Test Systems (embedding AI in a Test System/Component)
• Testing AI Models for autonomic and cognitive management & control of network resources, parameters and services
• ETSI GANA as Multi-Layer AI Reference Model for Implementing Autonomic Management & Control (AMC) of Networks and Services (including 5G Network Slices)
• Stakeholders that should play certain roles in the context of Test and Certification of GANA Cognitive DEs and GANA Knowledge Planes for AMC
• General Approach to Designing the Test Systems/Components for Testing Autonomics AI Models, and Challenges in AI Models’ ability to cope with 5G Network Dynamics that need to be taken into consideration
• Illustrations of Types of Standardizable Metrics that should be target for Measurements and Assessments in Testing and Certification of AI Models of Autonomic Components/Systems
• Capabilities of Softwell Performance AB’s AI-empowered Performance Test Solutions that held address Challenges in Performance Testing of 5G Networks, Products and Slice Services
• Capabilities of Rohde & Schwarz Test Solutions that play a role in Enabling Autonomic Management & Control of 5G Slices
• Capabilities of DATAKOM Solutions that play a role in Testing AI Models for Autonomic Management & Control of 5G Slices
• Generic Test Framework for Testing ETSI GANA Model’s Multi-Layer Autonomics & AI Algorithms for Closed-Loop Network Automation

This Technical White Paper No.6 is about Demo-4 (of a series of Demos planned for 2018/2019 and beyond) of the ETSI PoC (Proof-Of-Concept) on 5G Network Slices Creation, Autonomic & Cognitive Management and E2E Orchestration; with Closed-Loop (Autonomic) Service Assurance for Network Slices; using the Smart Insurance IoT Use Case.

The Technical White Paper covers the following key topics in the target of operationalizing the ETSI GANA Model Standard (ETSI TS 103 195-2) in the context of 5G Networks and reveals Gaps in Standards that should be addressed by the industry while implementing GANA autonomics (control-loops) in network architectures and associated management and control architectures. The following aspects are covered in the results of the PoC:

• ETSI GANA Model Cognitive Decision Elements (DEs) as AI Models for Autonomic Management & Control (AMC) of Network Resources, Parameters, Services and Security
• The Generic Framework for Multi-Domain Federated GANA Knowledge Planes for E2E Autonomic (Closed-Loop) Security Management & Control for 5G Slices, Networks/Services
• Security Functions Placement in 5G Networks and Autonomic/Dynamic Orchestration of Security Enforcement Policies as Driven by Network Slicing Dynamics
• Programmability of Security Functions, and Autonomic/Dynamic Security Policies Enforcement by KPs, as Driven by Security Attacks Detection and Threats Predictions
• Checkpoint (Network Security Solutions Vendor) Capabilities that help implement the GANA based Generic Framework for E2E Autonomic Security Management and Control
• Conclusions on what should be considered for Standardization

High-level framework of architecture principles and requirements that provide guidance and direction for NGMN partners and standards development organisations in the shaping of the 5G suite of interoperable capabilities, enablers, and services. It builds on the architectural concepts and proposals implied by the NGMN White Paper and subsequent deliverables published by NGMN.

In this NGMN White paper, section 6.4 on “Autonomic Networking” relies on ETSI GANA Framework (ETSI TS 103 195-2) to capture requirements for Autonomic Management & Control (AMC) of the Network and Services.

Recommendation ITU-T Y.3324 specifies the high-level and functional requirements and architecture of autonomic management and control (AMC) for IMT-2020 networks. It also specifies interworking reference points between AMC and IMT-2020 management and orchestration architecture, and legacy NMS/OSS. In Appendix I, it describes a use case to realize the AMC architecture through the ETSI GANA reference model(ETSI TS 103 195-2).

This part of ISO/IEC TR 15443 builds on the concepts presented in ISO/IEC TR 15443-1. It provides a discussion of the attributes of security assurance conformity assessment methods that contribute towards making assurance claims and providing assurance evidence to fulfil meeting the assurance requirements for a deliverable.

This 3GPP Technical Specification describes the service and operational requirements for a 5G system, including UE, NG-RAN, and 5G Core network. TS 22.261 builds on specifications for Rel-15 (TS 22.261, V15.7.0). 

TS 22.261 responds to the needs to support different kinds of UEs, e.g. for the Internet of Things (IoT), services and technologies towards a high-performance and highly efficient 3GPP system. Drivers include IoT, Vritual Reality (VR), industrial control, ubiquitous on-demand coverage, and meeting customised market needs. These drivers require enhancements to the devices, services, and technologies well established by 3GPP. 

This specification covers, among other aspects, high level requirements (e.g. migration to 5G). It also covers:

• Basic capabilities, e.g. network slicing, mobility management, multiple access technologies context aware networks, self backhaul, energy efficiency, eV2X aspects, non public networks, QoS monitoring, positioning services.
• Performance requirements, e.g. high data rates, low latency and high reliability. 
• Security, e.g. authentication, authorisation, regulatory aspects, fraud protection, data security and privacy.
• Charging aspects. 

Last update: June 2019

Cloud Customer Architecture for Hybrid Integration introduces a core reference architecture and key concepts for hybrid integration in the enterprise.
 
IT environments are now fundamentally hybrid in nature – devices, systems, and people are spread across the globe, and at the same time virtualized. Achieving integration across this ever-changing environment is a significant challenge. This paper explores common architecture patterns seen in enterprises tackling this issue.
 
Hybrid integration can be looked at from many perspectives including application, data, and infrastructure. This whitepaper positions hybrid integration from an application perspective, and presents the reference architecture as a seamless integration from cloud to on-premises for events, APIs, and data.

Cloud Customer Architecture for Hybrid Integration introduces a core reference architecture and key concepts for hybrid integration in the enterprise.
 
IT environments are now fundamentally hybrid in nature – devices, systems, and people are spread across the globe, and at the same time virtualized. Achieving integration across this ever-changing environment is a significant challenge. This paper explores common architecture patterns seen in enterprises tackling this issue.
 
Hybrid integration can be looked at from many perspectives including application, data, and infrastructure. This whitepaper positions hybrid integration from an application perspective, and presents the reference architecture as a seamless integration from cloud to on-premises for events, APIs, and data.