ETSI TS 103 195-2-2018 Autonomic network engineering for the self-managing Future Internet (AFI) Generic Autonomic Network Architecture Part 2 An Architectural Reference Model for _1.pdf

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1、 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 TECHNICAL SPECIFICATION ETSI ETSI TS 103

2、195-2 V1.1.1 (2018-05)2 Reference DTS/NTECH-AFI-0015-2-GS02 Keywords autonomic networking, self-management, self-organization, artificial intelligence ETSI 650 Route des Lucioles F-06921 Sophia Antipolis Cedex - FRANCE Tel.: +33 4 92 94 42 00 Fax: +33 4 93 65 47 16 Siret N 348 623 562 00017 - NAF 74

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9、marks registered and owned by the GSM Association. ETSI ETSI TS 103 195-2 V1.1.1 (2018-05)3 Contents Intellectual Property Rights 7g3Foreword . 7g3Modal verbs terminology 7g3Introduction 7g31 Scope 9g32 References 9g32.1 Normative references . 9g32.2 Informative references 10g33 Definitions, symbols

10、 and abbreviations . 15g33.1 Definitions 15g33.2 Symbols 21g33.3 Abbreviations . 23g34 Introduction and Overview of the GANA Reference Model . 25g34.1 Snapshot of the GANA Reference Model 25g34.1.1 Overview 25g34.1.2 Concept of GANA DE (autonomic Decision-making-Element) . 27g34.1.3 Concept of GANA

11、MEs (Managed Entities) 28g34.1.4 Why call the behaviours of DEs self-* features? 29g34.1.5 Concept of Knowledge Plane (KP) in the GANA Model . 29g34.1.6 The value in having Decision-Elements/Engines (DEs) forming a Decision Plane Hierarchy for AMC . 30g34.1.7 GANA Network Governance Interface for Go

12、verning the Autonomic Network . 31g34.1.8 GANA as a holistic unifying model for the well-established models for AMC . 31g34.1.9 Summary of the GANA Abstraction Levels for Self-Management (Autonomic) Functionality 31g34.2 Relationships between GANA and other complementary networking paradigms: SON, S

13、DN, NFV, E2E Orchestration, Network Analytics, Big-Data, and other . 32g34.3 GANA Abstraction Levels for Self-Management (Autonomics), Functional Blocks (FBs) and Reference Points; GANA Instantiations Guide and Examples/Cases . 32g34.4 GANA Abstraction Levels for Self-Management (Autonomics) Functio

14、nality: GANAs four basic abstraction levels for Hierarchical Control-Loops . 35g34.4.1 The Four Basic Levels of Abstractions for Designing Self-Management Functionality and associated Hierarchical (Nested) Control-Loops 35g34.4.2 GANA Level-1 DE (the lowest), called a “Protocol“ Level DE . 36g34.4.3

15、 GANA Level-2 DE, called a “Function“-Level DE 36g34.4.4 GANA Level-3 DE -called the Node-Main-DE 37g34.4.5 GANA Level-4 DE (the highest)-called a “Network“ Level-DE 37g34.4.6 Implementation Guide for GANA DEs 37g34.5 GANAs Network Governance Interface 38g34.6 Reference Points (Rfps) in GANA . 39g34

16、.7 A Consolidated Characterization of the GANA Knowledge Plane, and Cognitive Algorithms for Artificial Intelligence (AI) in Autonomic Functions (DEs) 40g34.8 Complex Event Processing (CEP), Context-Awareness, Data Analytics and Cognition in the GANA Knowledge Plane 43g34.8.1 Complex Event Processin

17、g (CEP) as part of a Data Analytics Capability of DE or of a Data Analytics Module employed by multiple DEs 43g34.8.2 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 43g34.9 Interworking the GANA Knowle

18、dge Plane with Traditional Network Management Systems 45g34.10 Architecture for Federated GANA domains of management and control 46g34.11 GANA Instantiation Guide and Examples/Cases of GANA Instantiations 47g35 The detailed description of the GANA Reference Model Structure, Core concepts and Princip

19、les 48g35.1 The Core Concepts, and Design and Operational Principles for GANA Functional Blocks 48g35.1.1 Overview 48g3ETSI ETSI TS 103 195-2 V1.1.1 (2018-05)4 5.1.2 Structural Model of a Managed Entity (ME) at the GANA lowest layer (the resources layer), ME Interfaces, and Primitives/Operations for

20、 Enabling ME Programmability . 48g35.1.2.1 Overview . 48g35.1.2.2 Primitives/Operations for Enabling ME Programmability 50g35.1.2.3 S_I sub-interface of the Management Interface: Sensory_Interface . 51g35.1.2.4 GNSIR_I sub-interface of the Management Interface:General_NonSensoryInformationRetrieval_

21、Interface 51g35.1.2.5 E_I sub-interface of the Management Interface: Effector Interface 52g35.1.2.6 SP_I Interface: Service Providing Interface 53g35.1.2.7 SR_I Interface: Service Requesting Interface . 53g35.1.2.8 Summary of Interfaces of an ME Model . 53g35.1.3 Structural Model of a Decision-makin

22、g-Element (DE), DE Interfaces, and Primitives/Operations for Enabling DE Programmability 54g35.1.3.1 Overview . 54g35.1.3.2 Cognition Module (CM) of a DE 56g35.1.3.3 Internal Information/Knowledge (I/K) Repository or DataStorage/Database of a DE 56g35.1.3.4 Primitives/Operations for Enabling DE Prog

23、rammability. 56g35.1.3.5 An overview on Interfaces of a DE . 57g35.1.3.6 E_I sub-interface of the Management Interface: Effector Interface 57g35.1.3.7 S_I sub-interface of the Management Interface: Sensory_Interface . 57g35.1.3.8 GNSIR_I sub-interface of the Management Interface: General_NonSensoryI

24、nformationRetrieval_Interface . 58g35.1.3.9 ME2DE_SIR_I sub-interface of the DE-ME(s) Interface (DeMe): ME-to-DE_SensoryInformationRetrieval_Interface . 58g35.1.3.10 ME2DE_GNSIR_I sub-interface of the DE-ME(s) Interface (DeMe): ME-to-DE_General_NonSensoryInformationRetrieval_Interface 59g35.1.3.11 D

25、E2ME_E_Isub-interface of theDE-ME(s) Interface (DeMe): DE-to-ME_Effector_Interface . 59g35.1.3.12 Other_Int_Iinterface of a DE: OtherInteraction_Interface 60g35.1.3.13 DE2DE_I Interface of a DE : DE-PeerDE_Interface 60g35.1.3.14 Summary of Interfaces of a DE Model . 61g35.1.3.15 Assignment of Manage

26、d Entities (MEs) and their Configurable and Controllable Parameters to specific Decision Elements (DEs) in GANA (“1-ME-Param“-mapped to-“1-DE“) . 63g35.1.3.15.1 Concept of “ownership“ of MEs in GANA . 63g35.1.3.16 GANA DEs Hierarchy and Hierarchical Control-Loops, and Mappings of Managed Entities (M

27、Es) and their Configurable and Controllable Parameters to specific DEs (“1-ME-Param“ to “1-DE Mapping“) 66g35.1.3.16.1 An Overview on Mappings of Various Types of Managed Entities (MEs) and their Configurable and Controllable Parameters to Specific DEs 66g35.1.3.16.2 GANA level 1 DE (the lowest)-cal

28、led “Protocol“ Level DE . 68g35.1.3.16.3 GANA level-2 DE-called “Function“ Level DE 68g35.1.3.16.4 GANA Level-3 DE-called Node-Main-DE . 73g35.1.3.16.5 GANA Level-4 DE (the highest level)-called “Network“ Level-DE . 76g35.1.4 DEs Coordination Function for ensuring Stability in interacting Control-Lo

29、ops, and the role the Auto-Configuration DE (Auto-Configuration and Auto-Discovery DE) can play in Coordination of DEs . 83g35.1.5 Model Based Translation Service (MBTS) . 84g35.1.6 Overlay Network Information eXchange (ONIX) System of Information Servers 85g35.1.6.1 A General Characterization of th

30、e ONIX System of Federated Information Servers . 85g35.1.6.2 Categories of Information that could be stored and shared through ONIX . 87g35.1.6.3 Information Services that should be provided by ONIX . 88g35.1.6.4 Information Subscription Mechanism . 89g35.1.6.5 Bootstrapping information 89g35.1.6.6

31、On Federation of ONIX systems, and other characteristics of ONIX . 90g35.1.7 Knowledge Management on Knowledge Bases (KBs) and the role of ONIX, DEs, MBTS, NEs and Automated Network Management Tools in Knowledge Management . 90g36 Reference Points (Rfps) in the GANA Reference Model . 91g36.1 An Over

32、view of the Types of Reference Points in the GANA Model . 91g36.2 The basic concepts associated with Reference points in GANA 91g36.3 Summary Table of Reference Points in GANA . 91g36.4 GANA DE-to-DE and DE-to-ME Reference points (Rfps) . 98g3ETSI ETSI TS 103 195-2 V1.1.1 (2018-05)5 6.4.1 Vertical R

33、eference Points and Horizontal Reference Points in GANA, GANA integration with Legacy Management Systems, and Federated AMC Reference Points 98g36.4.2 Vertical Reference Points in GANA . 99g36.4.2.1 DeMe: reference point between the Node-Main-DE or Function Level DEs and Managed Entities (MEs) in th

34、e resources layer of a GANA node (NE) . 99g36.4.2.2 NoMe: reference point (Rfp_NMDE-to-Level2-DE) between GANA-Node-Main-DE and a Function-Level DE(s) 99g36.4.2.3 NeMe: Vertical Reference Point Network-Level-DE-to-NodeMainDE . 100g36.4.2.4 OsDe: Vertical Reference Point: OSS/BSS-to-Network-Level-DE

35、100g36.4.2.5 NeM Vertical Reference Point: Network Element-to-AMC-MBTS . 101g36.4.2.6 G-Os: Vertical Reference Point: OSS/BSS-to-Network-Level-DE through G-MBTS . 102g36.4.3 Horizontal Reference Points (Rfps)-to enable to coordinate DE decisions within the same GANA Level . 102g36.4.3.1 FuDe: Horizo

36、ntal Reference Point: FunctionLevelDE-to-FunctionLevelDE . 102g36.4.3.2 NoDe: Horizontal Reference Point: NodeMainDE-to-NodeMainDE . 103g36.4.3.3 NeDe Horizontal Reference Point: NetworkLevelDE-to-NetworkLevelDE . 103g36.4.4 AMC Federation Reference Points . 103g36.4.4.1 A General Characterization o

37、f Reference Points (Rfps) pertaining to Federated AMC across Domains 103g36.4.4.2 FFuDe: Federation Horizontal Reference Point: FunctionLevelDE-to-FunctionLevelDE . 104g36.4.4.3 FNoDe: Federation Horizontal Reference Point: NodeMainDE-to-NodeMainDE . 104g36.4.4.4 FNeDe Federation Horizontal Referenc

38、e Point: NetworkLevelDE-to-NetworkLevelDE 105g36.4.4.5 FOO Federation Horizontal Reference Point: ONIX-to-ONIX belonging to different KPs . 105g36.4.4.6 FMM Federation Horizontal Reference Point: Knowledge Plane-to-Knowledge Plane whereby MBTS services may be required . 105g36.5 GANA Knowledge Plane

39、 (KP) Reference Points (Rfps)-Rfps within a KP belonging to a particular Administrative Domain 106g36.5.1 NoI Reference Point: GANA Node-Main-DE-to-ONIX Rfp . 106g36.5.2 NeI Reference Point: NetworkLevelDE-to-ONIX Rfp . 106g36.5.3 OsI Network Governance Reference Point: OSS/BSS to ONIX (Knowledge Pl

40、ane) . 107g36.5.4 NeM Reference Point: Knowledge Plane-to-Network Element through the AMC-MBTS 107g36.6 GANA Operations Procedures for the Human Network Operator . 107g36.6.1 Overall Insights on Operations Procedures that may be applied to Operating a GANA empowered Autonomic Network . 107g36.6.2 Po

41、licy Based Network Governance in GANA and further insights on use of GANA Network Profiles, Node Profiles and Configuration Files and Models 112g36.6.3 ONIX as Network Inventory . 113g36.6.4 Auto-Configuration of DEs and MEs . 113g37 Concluding Remarks and Perspectives on Further Work . 113g37.1 Mai

42、n Conclusion Points/Remarks 113g37.2 Further Work 115g3Annex A (normative): Summary of GANA Abstraction Levels for Self-Management/Autonomics Control-Loops . 117g3Annex B (normative): Requirements for Protocols and APIs for Enabling GANA based Autonomics, Cognitive Networking and Self-Management of

43、Networks and Services in Evolving and Future Networks . 118g3B.1 General Protocol and APIs Requirements Necessitated by the GANA Model as enabler for AMC when instantiated onto particular target network and management architectures 118g3B.1.0 Overview on the Types of Protocol and API Requirements .

44、118g3B.1.1 Protocol Requirements . 118g3B.1.2 API Requirements 122g3B.2 Requirements for APIs Necessitated by the Unified Architecture for ETSI GANA Knowledge Plane, SDN NFV, E2E Orchestration, Big-Data driven analytics for AMC 126g3Annex C (normative): Operations Guide for GANA-Empowered AMC and Au

45、tonomic Networks . 136g3C.0 A note on the Availability of the Elaborate Implementation Guide for GANA . 136g3ETSI ETSI TS 103 195-2 V1.1.1 (2018-05)6 C.1 Automated Management Tool-Chains and their Interface with the GANA Governance Interface . 136g3C.2 Options that may be applied in Configuration of

46、 MEs and DEs using Network Profile and Configuration Files or Models and Data 138g3C.2.0 Complementary insights to insights provided in the clause on GANA Operations Procedures for the Human Network Operator 138g3C.2.1 Option-1: Network Configuration and Provisioning via Management and Orchestration

47、 Systems and interworking with the GANA Knowledge Plane 139g3C.2.2 Option-2: Configurations of NEs happens through the KP DEs and MBTS, with or without being complemented by traditional vendors management systems . 140g3C.2.3 Option-3: Configurations of NEs happens through the KP DEs and MBTS, with

48、ONIX facilitated dissemination of Config-Data to GANA Nodes, with/without being complemented by traditional vendors management systems 141g3Annex D (normative): The ONIX System and possible ways to implement ONIX 143g3D.1 The ONIX System and possible ways to implement ONIX . 143g3Annex E (informativ

49、e): Bibliography . 147g3History 149g3ETSI ETSI TS 103 195-2 V1.1.1 (2018-05)7 Intellectual Property Rights Essential patents IPRs essential or potentially essential to normative deliverables may have been declared to ETSI. The information pertaining to these essential IPRs, if any, is publicly available for ETSI members and non-members, and can be found in ETSI SR 000 314: “Intellectual Property Rights (IPRs); Essential, or potentially Essential, IPRs notified to ETSI in respect of ETSI standards“, which is available from the ETSI Secretariat. Latest updates are available on