ETSI GS ENI 005 V1.1.1 (2019-09)

Experiential Networked Intelligence (ENI); System Architecture

DGS/ENI-005_Sys_Architecture

General Information

• Status: Published
• Publication Date: 15-Sep-2019
• Technical Committee: ENI - Experiential Networked Intelligence
• Current Stage: 12 - Completion
• Due Date: 18-Sep-2019
• Completion Date: 16-Sep-2019

Standards Content (Sample)

ETSI GS ENI 005 V1.1.1 (2019-09)






GROUP SPECIFICATION
Experiential Networked Intelligence (ENI);
System Architecture
Disclaimer
The present document has been produced and approved by the Experiential Networked Intelligence (ENI) ETSI Industry
Specification Group (ISG) and represents the views of those members who participated in this ISG.
It does not necessarily represent the views of the entire ETSI membership.

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2 ETSI GS ENI 005 V1.1.1 (2019-09)



Reference
DGS/ENI-005
Keywords
management, network, policy management

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3 ETSI GS ENI 005 V1.1.1 (2019-09)
Contents
Intellectual Property Rights . 8
Foreword . 8
Modal verbs terminology . 8
Executive summary . 8
Introduction . 8
1 Scope . 9
2 References . 9
2.1 Normative references . 9
2.2 Informative references . 10
3 Definition of terms, symbols and abbreviations . 11
3.1 Terms . 11
3.2 Symbols . 13
3.3 Abbreviations . 13
4 Overview of System Architecture (informative) . 13
4.1 Introduction . 13
4.2 Motivation for ENI . 13
4.3 Benefits of ENI . 14
4.4 High-Level Description of the ENI System Architecture . 15
4.4.1 Overall Description . 15
4.4.2 The Assisted System . 15
4.4.2.1 Introduction . 15
4.4.2.2 Class 1: An Assisted System that has No AI-based Capabilities . 16
4.4.2.3 Class 2: An Assisted System with AI that is Not in the Control Loop . 17
4.4.2.4 Class 3: An Assisted System with AI Capabilities in its Control Loop . 18
4.4.2.4.1 Introduction . 18
4.4.2.4.2 Class 3 Options . 18
4.4.2.5 Summary of Interaction between the Assisted System and ENI . 19
4.4.3 Mode of Operation . 20
4.4.3.1 Allowed Modes of Operation . 20
4.4.3.2 Setting the Mode of Operation . 20
4.4.3.3 Interaction with the Assisted System . 21
4.4.3.4 Selecting a Mode of Operation for a Class of Decisions . 21
4.4.3.5 Communication of Mode of Operation . 21
4.4.3.6 Normal Operation of the Selected Mode of Operation. 21
4.4.3.7 Exception Handling for the Selected Mode of Operation . 22
4.4.4 Communication . 22
4.4.4.1 Overview . 22
4.4.4.2 Discovery . 22
4.4.4.3 Direct Configuration . 22
4.4.4.4 Negotiation . 22
4.4.4.5 Switching the Mode of Operation . 23
4.4.4.5.1 Overview . 23
4.4.4.5.2 Case 1: ENI Indirectly Instructs the Assisted System to Switch Modes . 24
4.4.4.5.3 Case 2: ENI Directly Instructs the Assisted System to Switch Modes . 24
4.4.5 Functional Concepts . 24
4.4.5.1 Introduction . 24
4.4.5.2 Functional Block Definitions . 24
4.4.5.3 State. 24
4.4.5.4 Control Loop Operation . 25
4.4.5.5 Inferencing . 25
4.4.5.6 Data, Information, Knowledge, and Wisdom . 25
4.4.5.6.1 Introduction . 25
4.4.5.6.2 Data . 27
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4.4.5.6.3 Information . 27
4.4.5.6.4 Knowledge . 27
4.4.5.6.5 Wisdom . 27
4.4.5.7 Measured vs. Inferred Knowledge . 27
4.4.6 ENI Reference Points. 28
4.4.6.1 Definition of an ENI Reference Point . 28
4.4.6.2 Definition of an ENI External Reference Point . 28
4.4.6.3 Definition of an ENI Internal Reference Point . 28
4.4.7 ENI Interfaces . 28
4.4.7.1 Definition of an ENI Interface . 28
4.4.7.2 Definition of an ENI Hardware Interface . 28
4.4.7.3 Definition of an ENI Software Interface . 28
4.4.7.4 Definition of an ENI Application Programming Interface . 28
4.4.7.5 Comparison of ENI Software Interfaces with ENI APIs . 29
4.5 Functional Architecture . 29
4.5.1 Functional Block Diagram of the ENI System . 29
4.5.2 API Broker . 31
4.5.3 ENI System Functional Blocks . 31
4.5.3.1 Introduction . 31
4.5.3.2 Input Processing . 31
4.5.3.2.1 Overview . 31
4.5.3.2.2 Data Ingestion Functional Block . 31
4.5.3.2.3 Normalization Functional Block . 32
4.5.3.3 Analysis . 32
4.5.3.3.1 Knowledge Management and Processing . 32
4.5.3.4 Situation-based, Model-driven, Policy Generation . 33
4.5.3.4.1 Overview . 33
4.5.3.4.2 Situation Awareness Functional Block . 33
4.5.3.4.3 Model Driven Engineering Functional Block . 33
4.5.3.5 Output Generation . 34
4.5.3.5.1 Overview . 34
4.5.3.5.2 Denormalization Functional Block . 34
4.5.3.5.3 Output Generation Functional Block . 35
4.5.4 Decision-Making . 35
4.5.4.1 Overview . 35
4.5.4.2 Decision-Making using Hindsight . 35
4.5.4.3 Decision-Making using Deterministic Processing . 35
4.5.4.4 Decision-Making using Predictive Processing . 35
4.5.4.5 Decision-Making using Cognitive Processing . 36
5 ENI Architectural Requirements . 36
5.1 Introduction . 36
5.2 Functional Architectural Requirements for ENI Operation . 36
5.3 Architectural Requirements for Mode of Operation . 39
5.4 Non-Functional Architectural Requirements for ENI Operation . 40
5.5 Reference Point Requirements . 40
6 ENI Reference Architectural Framework . 41
6.1 Introduction . 41
6.2 Design Principles of the ENI System architecture . 41
6.2.1 Overview . 41
6.2.2 Nesting of Functional Blocks. 42
6.2.3 Negotiation . 43
6.2.3.1 Introduction . 43
6.2.3.2 Distributive Negotiation . 43
6.2.3.3 Integrative Negotiation . 43
6.2.3.4 Functional Model: an Informative Example . 44
6.3 Architectural Functional Blocks of the ENI System . 44
6.3.1 Introduction. 44
6.3.2 Data Ingestion Functional Block . 45
6.3.2.1 Introduction . 45
6.3.2.2 Motivation . 45
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6.3.2.3 Function of the Data Ingestion Functional Block . 46
6.3.2.3.1 Introduction . 46
6.3.2.3.2 Data Filtering . 46
6.3.2.3.3 Data Correlation . 46
6.3.2.3.4 Data Cleansing. 47
6.3.2.3.5 Data Anonymization and Pseudonymization . 47
6.3.2.3.6 Data Augmentation . 47
6.3.2.3.7 Data Labelling . 47
6.3.2.4 Operation of the Data Ingestion Functional Block . 47
6.3.3 Data Normalization Functional Block . 48
6.3.3.1 Introduction . 48
6.3.3.2 Motivation . 49
6.3.3.3 Function of the Data Normalization Functional Block . 49
6.3.3.4 Operation of the Data Normalization Functional Block . 49
6.3.3.4.1 Introduction . 49
6.3.3.4.2 Database Design Analogy . 49
6.3.3.4.3 Normalization for Machine Learning . 50
6.3.3.4.4 Applying Normalization to ENI . 51
6.3.4 Knowledge Management Functional Block . 52
6.3.4.1 Introduction . 52
6.3.4.2 Inferencing . 52
6.3.4.3 Motivation . 52
6.3.4.4 Function of the Knowledge Management Functional Block . 53
6.3.4.5 Operation of the Knowledge Management Functional Block . 53
6.3.4.5.1 Introduction . 53
6.3.4.5.2 Observe Functionality . 54
6.3.4.5.3 Orient Functionality . 54
6.3.4.5.4 Decide Functionality . 55
6.3.4.5.5 Act Functionality . 55
6.3.5 Context-Aware Management Functional Block . 55
6.3.5.1 Introduction . 55
6.3.5.2 Motivation . 56
6.3.5.3 Function of Context Awareness . 56
6.3.5.4 Operation of the Context Awareness Functional Block . 56
6.3.6 Cognition Framework Functional Block. 58
6.3.6.1 Introduction . 58
6.3.6.2 Motivation . 59
6.3.6.3 Function of the Cognition Framework Functional Block . 59
6.3.6.4 Operation of the Cognition Framework Functional Block (informative) . 59
6.3.6.4.1 Introduction . 59
6.3.6.4.2 The Symbolic Approach . 60
6.3.6.4.3 The Connectionist Approach . 61
6.3.7 Situational Awareness Functional Block . 62
6.3.7.1 Introduction . 62
6.3.7.2 Motivation . 62
6.3.7.3 Function of Situational Awareness . 62
6.3.7.4 Operation of the Situational Awareness Functional Block . 62
6.3.7.5 Difference between Context Awareness and Situational Awareness . 65
6.3.8 Model Driven Engineering Functional Block . 65
6.3.8.1 Introduction . 65
6.3.8.2 Motivation . 65
6.3.8.3 Function of the Model Driven Engineering Functional Block . 66
6.3.8.4 Operation of the Model Driven Engineering Functional Block . 66
6.3.9 Policy Management Functional Block . 68
6.3.9.1 Introduction . 68
6.3.9.2 Motivation . 68
6.3.9.3 Function of the Policy Management Functional Block . 69
6.3.9.4 Operation of the Policy Management Functional Block . 70
6.3.10 Denormalization Functional Block . 72
6.3.10.1 Introduction . 72
6.3.10.2 Motivation . 73
6.3.10.3 Function of the Denormalization Functional Block . 73
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6.3.10.4 Operation
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