ETSI TS 103 195-2 V1.1.1 (2018-05)

Autonomic network engineering for the self-managing Future Internet (AFI); Generic Autonomic Network Architecture; Part 2: An Architectural Reference Model for Autonomic Networking, Cognitive Networking and Self-Management

DTS/NTECH-AFI-0015-2-GS02

General Information

• Status: Published
• Publication Date: 01-May-2018
• Technical Committee: NTECH AFI - Evolution of Management towards Autonomic Future Internet
• Current Stage: 12 - Completion
• Due Date: 02-May-2018
• Completion Date: 02-May-2018

Standards Content (Sample)

ETSI TS 103 195-2 V1.1.1 (2018-05)






TECHNICAL SPECIFICATION
Autonomic network engineering for the self-managing
Future Internet (AFI);
Generic Autonomic Network Architecture;
Part 2: An Architectural Reference Model for Autonomic
Networking, Cognitive Networking and Self-Management

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2 ETSI TS 103 195-2 V1.1.1 (2018-05)



Reference
DTS/NTECH-AFI-0015-2-GS02
Keywords
autonomic networking, self-management, self-
organization, artificial intelligence

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3 ETSI TS 103 195-2 V1.1.1 (2018-05)
Contents
Intellectual Property Rights . 7
Foreword . 7
Modal verbs terminology . 7
Introduction . 7
1 Scope . 9
2 References . 9
2.1 Normative references . 9
2.2 Informative references . 10
3 Definitions, symbols and abbreviations . 15
3.1 Definitions . 15
3.2 Symbols . 21
3.3 Abbreviations . 23
4 Introduction and Overview of the GANA Reference Model . 25
4.1 Snapshot of the GANA Reference Model . 25
4.1.1 Overview . 25
4.1.2 Concept of GANA DE (autonomic Decision-making-Element) . 27
4.1.3 Concept of GANA MEs (Managed Entities) . 28
4.1.4 Why call the behaviours of DEs self-* features? . 29
4.1.5 Concept of Knowledge Plane (KP) in the GANA Model . 29
4.1.6 The value in having Decision-Elements/Engines (DEs) forming a Decision Plane Hierarchy for
AMC . 30
4.1.7 GANA Network Governance Interface for Governing the Autonomic Network . 31
4.1.8 GANA as a holistic unifying model for the well-established models for AMC . 31
4.1.9 Summary of the GANA Abstraction Levels for Self-Management (Autonomic) Functionality . 31
4.2 Relationships between GANA and other complementary networking paradigms: SON, SDN, NFV, E2E
Orchestration, Network Analytics, Big-Data, and other . 32
4.3 GANA Abstraction Levels for Self-Management (Autonomics), Functional Blocks (FBs) and Reference
Points; GANA Instantiations Guide and Examples/Cases . 32
4.4 GANA Abstraction Levels for Self-Management (Autonomics) Functionality: GANA's four basic
abstraction levels for Hierarchical Control-Loops . 35
4.4.1 The Four Basic Levels of Abstractions for Designing Self-Management Functionality and associated
Hierarchical (Nested) Control-Loops. 35
4.4.2 GANA Level-1 DE (the lowest), called a "Protocol" Level DE . 36
4.4.3 GANA Level-2 DE, called a "Function"-Level DE . 36
4.4.4 GANA Level-3 DE -called the Node-Main-DE. 37
4.4.5 GANA Level-4 DE (the highest)-called a "Network" Level-DE . 37
4.4.6 Implementation Guide for GANA DEs . 37
4.5 GANA's Network Governance Interface . 38
4.6 Reference Points (Rfps) in GANA . 39
4.7 A Consolidated Characterization of the GANA Knowledge Plane, and Cognitive Algorithms for
Artificial Intelligence (AI) in Autonomic Functions (DEs) . 40
4.8 Complex Event Processing (CEP), Context-Awareness, Data Analytics and Cognition in the GANA
Knowledge Plane . 43
4.8.1 Complex Event Processing (CEP) as part of a Data Analytics Capability of DE or of a Data
Analytics Module employed by multiple DEs . 43
4.8.2 Context-Awareness, Context Aware Engine (CAE) as part of a Data Analytics Capability of DE or
of a Data Analytics Module employed by multiple DEs . 43
4.9 Interworking the GANA Knowledge Plane with Traditional Network Management Systems . 45
4.10 Architecture for Federated GANA domains of management and control . 46
4.11 GANA Instantiation Guide and Examples/Cases of GANA Instantiations . 47
5 The detailed description of the GANA Reference Model Structure, Core concepts and Principles . 48
5.1 The Core Concepts, and Design and Operational Principles for GANA Functional Blocks . 48
5.1.1 Overview . 48
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4 ETSI TS 103 195-2 V1.1.1 (2018-05)
5.1.2 Structural Model of a Managed Entity (ME) at the GANA lowest layer (the resources layer), ME
Interfaces, and Primitives/Operations for Enabling ME Programmability . 48
5.1.2.1 Overview . 48
5.1.2.2 Primitives/Operations for Enabling ME Programmability . 50
5.1.2.3 S_I sub-interface of the Management Interface: Sensory_Interface . 51
5.1.2.4 GNSIR_I sub-interface of the Management
Interface:General_NonSensoryInformationRetrieval_Interface. 51
5.1.2.5 E_I sub-interface of the Management Interface: Effector Interface . 52
5.1.2.6 SP_I Interface: Service Providing Interface . 53
5.1.2.7 SR_I Interface: Service Requesting Interface . 53
5.1.2.8 Summary of Interfaces of an ME Model . 53
5.1.3 Structural Model of a Decision-making-Element (DE), DE Interfaces, and Primitives/Operations for
Enabling DE Programmability . 54
5.1.3.1 Overview . 54
5.1.3.2 Cognition Module (CM) of a DE . 56
5.1.3.3 Internal Information/Knowledge (I/K) Repository or DataStorage/Database of a DE. 56
5.1.3.4 Primitives/Operations for Enabling DE Programmability. 56
5.1.3.5 An overview on Interfaces of a DE . 57
5.1.3.6 E_I sub-interface of the Management Interface: Effector Interface . 57
5.1.3.7 S_I sub-interface of the Management Interface: Sensory_Interface . 57
5.1.3.8 GNSIR_I sub-interface of the Management Interface:
General_NonSensoryInformationRetrieval_Interface . 58
5.1.3.9 ME2DE_SIR_I sub-interface of the DE-ME(s) Interface (DeMe): ME-to-
DE_SensoryInformationRetrieval_Interface . 58
5.1.3.10 ME2DE_GNSIR_I sub-interface of the DE-ME(s) Interface (DeMe):
ME-to-DE_General_NonSensoryInformationRetrieval_Interface . 59
5.1.3.11 DE2ME_E_Isub-interface of theDE-ME(s) Interface (DeMe): DE-to-ME_Effector_Interface . 59
5.1.3.12 Other_Int_Iinterface of a DE: OtherInteraction_Interface . 60
5.1.3.13 DE2DE_I Interface of a DE : DE-PeerDE_Interface . 60
5.1.3.14 Summary of Interfaces of a DE Model . 61
5.1.3.15 Assignment of Managed Entities (MEs) and their Configurable and Controllable Parameters to
specific Decision Elements (DEs) in GANA ("1-ME-Param"-mapped to-"1-DE") . 63
5.1.3.15.1 Concept of "ownership" of MEs in GANA . 63
5.1.3.16 GANA DEs Hierarchy and Hierarchical Control-Loops, and Mappings of Managed Entities
(MEs) and their Configurable and Controllable Parameters to specific DEs ("1-ME-Param" to
"1-DE Mapping") . 66
5.1.3.16.1 An Overview on Mappings of Various Types of Managed Entities (MEs) and their
Configurable and Controllable Parameters to Specific DEs . 66
5.1.3.16.2 GANA level 1 DE (the lowest)-called "Protocol" Level DE . 68
5.1.3.16.3 GANA level-2 DE-called "Function" Level DE . 68
5.1.3.16.4 GANA Level-3 DE-called Node-Main-DE . 73
5.1.3.16.5 GANA Level-4 DE (the highest level)-called "Network" Level-DE . 76
5.1.4 DEs Coordination Function for ensuring Stability in interacting Control-Loops, and the role the
Auto-Configuration DE (Auto-Configuration and Auto-Discovery DE) can play in Coordination of
DEs . 83
5.1.5 Model Based Translation Service (MBTS) . 84
5.1.6 Overlay Network Information eXchange (ONIX) System of Information Servers . 85
5.1.6.1 A General Characterization of the ONIX System of Federated Information Servers . 85
5.1.6.2 Categories of Information that could be stored and shared through ONIX . 87
5.1.6.3 Information Services that should be provided by ONIX . 88
5.1.6.4 Information Subscription Mechanism . 89
5.1.6.5 Bootstrapping information . 89
5.1.6.6 On Federation of ONIX systems, and other characteristics of ONIX . 90
5.1.7 Knowledge Management on Knowledge Bases (KBs) and the role of ONIX, DEs, MBTS, NEs and
Automated Network Management Tools in Knowledge Management . 90
6 Reference Points (Rfps) in the GANA Reference Model . 91
6.1 An Overview of the Types of Reference Points in the GANA Model . 91
6.2 The basic concepts associated with Reference points in GANA . 91
6.3 Summary Table of Reference Points in GANA . 91
6.4 GANA DE-to-DE and DE-to-ME Reference points (Rfps) . 98
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5 ETSI TS 103 195-2 V1.1.1 (2018-05)
6.4.1 Vertical Reference Points and Horizontal Reference Points in GANA, GANA integration with
Legacy Management Systems, and Federated AMC Reference Points . 98
6.4.2 Vertical Reference Points in GANA . 99
6.4.2.1 DeMe: reference point between the Node-Main-DE or Function Level DEs and Managed
Entities (MEs) in the resources layer of a GANA node (NE) . 99
6.4.2.2 NoMe: reference point (Rfp_NMDE-to-Level2-DE) between GANA-Node-Main-DE and a
Function-Level DE(s). 99
6.4.2.3 NeMe: Vertical Reference Point Network-Level-DE-to-NodeMainDE . 100
6.4.2.4 OsDe: Vertical Reference Point: OSS/BSS-to-Network-Level-DE . 100
6.4.2.5 NeM Vertical Reference Point: Network Element-to-AMC-MBTS . 101
6.4.2.6 G-Os: Vertical Reference Point: OSS/BSS-to-Network-Level-DE through G-MBTS . 102
6.4.3 Horizontal Reference Points (Rfps)-to enable to coordinate DE decisions within the same GANA
Level . 102
6.4.3.1 FuDe: Horizontal Reference Point: FunctionLevelDE-to-FunctionLevelDE . 102
6.4.3.2 NoDe: Horizontal Reference Point: NodeMainDE-to-NodeMainDE . 103
6.4.3.3 NeDe Horizontal Reference Point: NetworkLevelDE-to-NetworkLevelDE . 103
6.4.4 AMC Federation Reference Points . 103
6.4.4.1 A General Characterization of Reference Points (Rfps) pertaining to Federated AMC across
Domains . 103
6.4.4.2 FFuDe: Federation Horizontal Reference Point: FunctionLevelDE-to-FunctionLevelDE . 104
6.4.4.3 FNoDe: Federation Horizontal Reference Point: NodeMainDE-to-NodeMainDE . 104
6.4.4.4 FNeDe Federation Horizontal Reference Point: NetworkLevelDE-to-NetworkLevelDE . 105
6.4.4.5 FOO Federation Horizontal Reference Point: ONIX-to-ONIX belonging to different KPs . 105
6.4.4.6 FMM Federation Horizontal Reference Point: Knowledge Plane-to-Knowledge Plane whereby
MBTS services may be required . 105
6.5 GANA Knowledge Plane (KP) Reference Points (Rfps)-Rfps within a KP belonging to a particular
Administrative Domain . 106
6.5.1 NoI Reference Point: GANA Node-Main-DE-to-ONIX Rfp . 106
6.5.2 NeI Reference Point: NetworkLevelDE-to-ONIX Rfp . 106
6.5.3 OsI Network Governance Reference Point: OSS/BSS to ONIX (Knowledge Plane) . 107
6.5.4 NeM Reference Point: Knowledge Plane-to-Network Element through the AMC-MBTS . 107
6.6 GANA Operations Procedures for the Human Network Operator . 107
6.6.1 Overall Insights on Operations Procedures that may be applied to Operating a GANA empowered
Autonomic Network . 107
6.6.2 Policy Based Network Governance in GANA and further insights on use of GANA Network
Profiles, Node Profiles and Configuration Files and Models . 112
6.6.3 ONIX as Network Inventory . 113
6.6.4 Auto-Configuration of DEs and MEs . 113
7 Concluding Remarks and Perspectives on Further Work . 113
7.1 Main Conclusion Points/Remarks . 113
7.2 Further Work . 115
Annex A (normative): Summary of GANA Abstraction Levels for Self-
Management/Autonomics Control-Loops . 117
Annex B (normative): Requirements for Protocols and APIs for Enabling GANA based
Autonomics, Cognitive Networking and Self-Management of
Networks and Services in Evolving and Future Networks . 118
B.1 General Protocol and APIs Requirements Necessitated by the GANA Model as enabler for AMC
when instantiated onto particular target network and management architectures . 118
B.1.0 Overview on the Types of Protocol and API Requirements . 118
B.1.1 Protocol Requirements . 118
B.1.2 API Requirements . 122
B.2 Requirements for APIs Necessitated by the Unified Architecture for ETSI GANA Knowledge
Plane, SDN NFV, E2E Orchestration, Big-Data driven analytics for AMC . 126
Annex C (normative): Operations Guide for GANA-Empowered AMC and Autonomic
Networks . 136
C.0 A note on the Availability of the Elaborate Implementation Guide for GANA . 136
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6 ETSI TS 103 195-2 V1.1.1 (2018-05)
C.1 Automated Management Tool-Chains and their Interface with the GANA Governance Interface . 136
C.2 Options that may be applied in Configuration of MEs and DEs using Network Profile and
Configuration Files or Models and Data . 138
C.2.0 Complementary insights to insights provided in the clause on GANA Operations Procedures for the
Human Network Operator . 138
C.2.1 Option-1: Network Configuration and Provisioning via Management and Orchestration Systems and
interworking with the GANA Knowledge Plane . 139
C.2.2 Option-2: Configurations of NEs happens through the KP DEs and MBTS, with or without being
complemented by traditional vendors' management systems . 140
C.2.3 Option-3: Configurations of NEs happens through the KP DEs and MBTS, with ONIX facilitated
dissemination of Config-Data to GANA Nodes, with/without being complemented by traditional
vendors' management systems . 141
Annex D (normative): The ONIX System and possible ways to implement ONIX . 143
D.1 The ONIX System and possible ways to implement ONIX . 143
Annex E (informative): Bibliography . 147
History . 149


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7 ETSI TS 103 195-2 V1.1.1 (2018-05)
Intellectual Property Rights
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Foreword
This Technical Specification (TS) has been produced by ETSI Technical Committee Network Technologies (NTECH).
The present document is part 2 of a multi-part deliverable. Full details of the entire series can be found in part 1 [i.70].
Modal verbs terminology
In the present document "shall", "shall not", "should", "should not", "may", "need not", "will", "will not", "can" and
"cannot" are to be interpreted as described in clause 3.2 of the ETSI Drafting Rules (Verbal forms for the expression of
provisions).
"must" and "must not" are NOT allowed in ETSI deliverables except when used in direct citation.
Introduction
As discussed in ETSI White Paper No.16 [3], the industry consensus is that in the digital services ecosystem, networks
evolve to so-called "smart networks of the future", which are characterized by the need to be operated based on
principles of dynamically adaptive Automated and Autonomic Management and Control (AMC) of networks and
services (a.k.a autonomics). AMC replaces the increasingly complex and error-prone manual and static management
and optimization of networks and services. Networks become smart, intelligent and self-managing or self-driving in
some of their operations and behaviours, thanks to the AMC (autonomics) paradigm. The present document presents the
Generic Autonomic Networking Architecture (GANA) Reference Model for Autonomic Networking, Cognitive
Networking and Self-Management for Networks and Services - a model for implementing the AMC paradigm. GANA
defines so-called Autonomic Functions (AFs) as autonomous and autonomic decision-making elements (DEs) for
network management and control that can be instrumented at four basic complementary abstraction levels for self-
management within network nodes or elements/functions and in the outer management and control realm. The main
goal of the GANA reference model is prescribing design and operational principles for Decision Elements (DEs) as the
drivers for cognitive, self-managing and self-adaptive net
...