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)

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.

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 of the Denormalization Functional Block . 73
6.3.11 Output Generation Functional Block . 74
6.3.11.1 Introduction . 74
6.3.11.2 Motivation . 75
6.3.11.3 Function of the Output Generation Functional Block . 75
6.3.11.4 Operation of the Output Generation Functional Block . 75
6.4 API Broker . 76
7 Reference Points . 76
7.1 Introduction . 76
7.2 Reference Point Overview . 76
7.3 Reference Point Definitions . 79
7.3.1 Reference Point E . 79
oss-eni-dat
7.3.2 Reference Point E . 79
oss-eni-cmd
7.3.3 Reference Point E . 79
app-eni-ctx
7.3.4 Reference Point E . 80
app-eni-oth
7.3.5 Reference Point E . 80
app-eni-kno
7.3.6 Reference Point E . 80
bss-eni-dat
7.3.7 Reference Point E . 81
bss-eni-cmd
7.3.8 Reference Point E . 81
usr-eni-pol
7.3.9 Reference Point E . 81
or-eni-dat
7.3.10 Reference Point E . 81
or-eni-cmd
7.3.11 Reference Point E . 82
inf-eni-dat
7.3.12 Reference Point E . 82
inf-eni-cmd
8 Interacting with Other Standardized Architectures . 82
8.1 Introduction . 82
8.2 Generic Architecture . 83
8.3 Generic SDO Interaction Architecture . 84
8.3.1 Introduction. 84
8.4 Interaction with NFV MANO . 84
8.4.1 High Level description of the NFV MANO - ENI Interaction . 84
8.4.2 Initial proposals for interaction scenarios . 86
8.4.2.1 Introduction . 86
8.4.2.2 Scenario 1: Passive Notification to NFV MANO . 86
8.4.2.3 Scenario 2: Active Data Analysis for NFV MANO . 86
8.4.2.4 Scenario 3: Active Assistance to the NFV MANO System . 86
8.4.2.5 Scenario 4: Active Assistance to the Assisted System . 86
9 Areas for Future Study . 87
9.1 Introduction . 87
9.2 Future Study for the Assisted System. 87
9.3 Models . 87
9.3.1 Future Study for the Information Model . 87
9.3.2 Future Study for Data Models. 88
9.4 Input and Output Processing . 88
9.4.1 Future Study for Data Ingestion and Normalization . 88
9.4.2 Future Study for Denormalization and Output Generation . 88
9.5 Knowledge Processing . 88
9.5.1 Future Study for Knowledge Management . 88
9.5.2 Future Study for Context Management . 89
9.5.3 Future Study for Cognition Management . 89
9.5.4 Future Study for Situation Awareness . 89
9.6 Future Study for MDE Processing . 89
9.7 Future Study for Policy Management and Processing . 89
9.8 Future Study for Reference Points. 90
9.9 Future Study for Interfaces . 90
9.10 Future Study for APIs and the API Broker . 90
9.11 Future Study for New ENI Functional Blocks . 91
9.12 Future Study for Interaction with Other Organizations . 91
9.13 Future Study for Security . 91
Annex A (informative): SDO and Open Source Interactions . 93
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A.1 Integration with Other SDOs and Open Source Communities . 93
A.1.1 Introduction . 93
A.1.2 Interaction with MEF-LSO. 93
A.1.3 Interaction with BBF CloudCO . 93
A.2 Interaction with Open Source Communities . 95
Annex B (informative): ENI Architectural Evolution . 96
B.1 ENI Architecture Evolution Motivation . 96
B.2 ENI Architecture Evolution Proposal . 96
B.3 Proposed Definition of the ENI Phases . 96
Annex C (informative): Authors & contributors . 97
History . 98

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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 the ETSI Web
server (https://ipr.etsi.org/).
Pursuant to the ETSI IPR Policy, no investigation, including IPR searches, has been carried out by ETSI. No guarantee
can be given as to the existence of other IPRs not referenced in ETSI SR 000 314 (or the updates on the ETSI Web
server) which are, or may be, or may become, essential to the present document.
Trademarks
The present document may include trademarks and/or tradenames which are asserted and/or registered by their owners.
ETSI claims no ownership of these except for any which are indicated as being the property of ETSI, and conveys no
right to use or reproduce any trademark and/or tradename. Mention of those trademarks in the present document does
not constitute an endorsement by ETSI of products, services or organizations associated with those trademarks.
Foreword
This Group Specification (GS) has been produced by ETSI Industry Specification Group (ISG) Experiential Networked
Intelligence (ENI).
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.
Executive summary
The present document specifies a high-level functional abstraction of the ENI System Architecture in terms of
Functional Blocks and External Reference Points. This includes describing how different classes of systems interact
with ENI. Processes, models, and detailed information are beyond the scope of the present document.
Introduction
The present document defines a high-level functional abstraction of the ENI System Architecture. The organization of
the present document is as follows. Clause 1 defines the scope of the present document. Clauses 2 and 3 provide
normative and informative references and definition of terms, respectively. Clause 4 provides an informative overview
of the ENI System Architecture, including its motivation, benefits, important concepts, and an overview of its
Functional Blocks. Clause 5 lists requirements of the ENI System Architecture. Clause 6 defines important design
principles of the ENI System Architecture, and then specifies the different Functional Blocks that make up the ENI
System Architecture. Clause 7 specifies the External Reference Points of the ENI System Architecture. Clause 8
describes how ENI interacts with other SDO Systems and clause 9 delineates a list of future study items.

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1 Scope
The present document specifies the functional architecture of an ENI System, which is a high-level decomposition of an
ENI System into its major components, along with a characterization of the externally visible behaviour (e.g. as defined
by a set of reference points) of the components. This includes:
• defining the functionality and behaviour of a system that satisfy the ENI Requirements (ETSI
GS ENI 002 [6]);
• defining a functional architecture, in terms of Functional Blocks, that addresses the goals specified by the ENI
Use Cases (ETSI GS ENI 001 [5]);
• defining Reference Points used by the above Functional Blocks for all communication with systems and
entities that are external to the ENI System;
• proposing a progress
...