ETSI GR ENI 004 V1.1.1 (2018-06)

Experiential Networked Intelligence (ENI); Terminology for Main Concepts in ENI

DGR/ENI-004_Terminology

General Information

• Status: Published
• Publication Date: 07-Jun-2018
• Technical Committee: ENI - Experiential Networked Intelligence
• Current Stage: 12 - Completion
• Due Date: 14-Jun-2018
• Completion Date: 08-Jun-2018

Standards Content (Sample)

ETSI GR ENI 004 V1.1.1 (2018-06)






GROUP REPORT
Experiential Networked Intelligence (ENI);
Terminology for Main Concepts in ENI
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 GR ENI 004 V1.1.1 (2018-06)



Reference
DGR/ENI-004
Keywords
artificial intelligence, network, terminology
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3 ETSI GR ENI 004 V1.1.1 (2018-06)
Contents
Intellectual Property Rights . 4
Foreword . 4
Modal verbs terminology . 4
1 Scope . 5
2 References . 5
2.1 Normative references . 5
2.2 Informative references . 5
3 Definitions and abbreviations . 6
3.1 Definitions . 6
3.2 Abbreviations . 12
Annex A: Authors & contributors . 15
Annex B: Bibliography . 16
Annex C: Change History . 17
History . 18


ETSI

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4 ETSI GR ENI 004 V1.1.1 (2018-06)
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 Report (GR) has been produced by ETSI Industry Specification Group (ISG) Experiential Networked
Intelligence (ENI).
Modal verbs terminology
In the present document "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.

ETSI

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1 Scope
The present document provides terms and definitions used within the scope of the ETSI ISG ENI. The purpose is to
define a common lexicon for use across all deliverables of ENI.
2 References
2.1 Normative references
Normative references are not applicable in the present document.
2.2 Informative references
References are either specific (identified by date of publication and/or edition number or version number) or
non-specific. For specific references, only the cited version applies. For non-specific references, the latest version of the
referenced document (including any amendments) applies.
NOTE: While any hyperlinks included in this clause were valid at the time of publication ETSI cannot guarantee
their long-term validity.
The following referenced documents are not necessary for the application of the present document, but they assist the
user with regard to a particular subject area.
[i.1] ETSI GS NFV 003 (V1.3.1): "Network Functions Virtualisation (NFV); Terminology for Main
Concepts in NFV".
[i.2] MEF PDO CfC: "Policy-Driven Orchestration", v0.8, February 2018.
[i.3] MEF 55.0.3: "Amendment to MEF 55: Service Orchestration Functionality", January 2018.
[i.4] MEF 55: "Lifecycle Service Orchestration (LSO): Reference Architecture and Framework",
March 2016.
[i.5] MEF MCM CfC: "MEF Core Model", March 2018.
[i.6] Gamma E., Helm R. Johnson R. and Vlissides J.: "Design Patterns: Elements of Reusable Object-
Oriented Software", Addison-Wesley, November 1994. ISBN 978-0201633610.
[i.7] ISO/IEC 2382-28: "Information technology -- Vocabulary".
[i.8] ISO/IEC/IEEE 42010: "Systems and software engineering -- Architecture description".
ETSI

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3 Definitions and abbreviations
3.1 Definitions
The purpose of the present document is to provide the terms and definitions to be used in ETSI ISG ENI deliverables.
0 to 9
Void.
A
abstraction: process of focusing on the important characteristics and behaviour of a concept and realizing this as a set
of one or more elements in an information or data model
NOTE: When applied to modelling, it defines a generic set of characteristics and behaviours for a class that all of
its subclasses inherit. This enables the definition of concepts to be separated from their implementation.
action: set of operations that may be performed on a set of managed entities, it represents a transformation or
processing in the system being modelled
NOTE: An Action either maintains the state, or transitions to a new state, of the targeted managed entities. The
execution of an Action may be influenced by applicable attributes and metadata. As defined in MEF PDO
CfC [i.2].
Artificial Intelligence (AI): computerized system that uses cognition to understand information and solve problems
NOTE 1: ISO/IEC 2382-28 [i.7] defines AI as "an interdisciplinary field, usually regarded as a branch of computer
science, dealing with models and systems for the performance of functions generally associated with
human intelligence, such as reasoning and learning".
NOTE 2: In computer science AI research is defined as the study of "intelligent agents": any device that perceives
its environment and takes actions to achieve its goals.
NOTE 3: This includes pattern recognition and the application of machine learning and related techniques.
NOTE 4: Artificial Intelligence is the whole idea and concepts of machines being able to carry out tasks in a way
that mimics the human intelligence and would be considered "smart".
B
Void.
C
capability: set of features that is available from a Component
NOTE: These features may, but do not have to, be used. All Capabilities should be announced through a
dedicated Reference Point. As defined in MEF PDO CfC [i.2].
choreography: set of processes that define how entities interact from a global point-of-view
NOTE: That is without a single point of control. Compare this definition to Orchestration.
closed loop control: self-regulating mechanism in which outputs of a system are provided to a system that compares
the current state to a desired state (or set of states); the comparison is then used to adjust the behaviour of the system
NOTE 1: Positive feedback increases the correction value, while negative feedback reduces the correction value.
NOTE 2: Positive and negative feedback can be combined to achieve the needs of a system. In addition, more
complex forms of closed loop control exist, such as proportional-integral-derivative (PID) control. See
control theory.
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component: part of a System that has operational and/or management significance
NOTE: A Software Component is an encapsulation of a set of related functions and/or data that perform a set of
specific purposes and have a set of associated semantics and behaviour.
compute node: object that performs a set of calculations according to a set of algorithms
condition: set of attributes, features, and/or values that are to be compared with a set of known attributes, features,
and/or values in order to determine what decision to make
container: object that stores collections of other objects in an organized manner
control plane: communication between entities that enables forwarding and routing of traffic to work
NOTE: Control plane packets are destined to, or locally originated, by entities themselves (e.g. they go to a
network entity and direct how traffic flows). Compare to Data Plane.
control theory: application of mechanisms to regulate the behaviour of a target system
NOTE: Control theory includes linear and nonlinear control mechanisms.
D
data model: representation of concepts of interest to an environment that is dependent on data repository, data
definition language, query language, implementation language, and/or protocol (typically, but not necessarily, all five)
NOTE: As defined in MEF PDO CfC [i.2].
data plane: path that the end-user traffic takes through a network
NOTE It is made up of traffic that goes through network entities, not to a network entity. Compare to Control
Plane.
declarative policy: type of policy that uses statements to express the goals of the policy, but not how to accomplish
those goals
NOTE 1: State is not explicitly manipulated, and the order of statements that make up the policy is irrelevant.
NOTE 2: In the present document, Declarative Policy will refer to policies that execute as theories of a formal
logic.
NOTE 3: As defined in MEF PDO CfC [i.2].
domain: collection of entities that share a common purpose, and which are governed in a common way
NOTE: As defined in MEF MCM CfC [i.5].
E
ENI framework: set of abstractions that provide reusable and extensible mechanisms to provide generic functionality
NOTE 1: The ISO/IEC/IEEE 42010 [i.8] defines the term architecture framework as: "An architecture framework
establishes a common practice for creating, interpreting, analysing, and using architecture descriptions
within a particular domain of application or stakeholder community".
NOTE 2: The ENI Framework also uses its abstractions to enable the ENI System to dynamically adapt to changing
business goals, user needs, and environmental conditions. The ENI Framework hence provides a standard
way to build and deploy applications and application components.
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ENI system: set of entities, based on the "observe-orient-decide-act" control loop model, that produces commands,
recommendations, and knowledge to assist or direct the management of another system
NOTE: The ENI system is an innovative, policy-based, model-driven entity that uses artificial intelligence and
other mechanisms to provide intelligent service operation and management. It is the enabler of intelligent
Infrastructure management, Network Operations Service Operation and Management, and Assurance. It
automates complex human-dependent decision-making processes. It also provides the ability to ensure
that automated decisions taken by the system are correct and are made to increase the reliability, security
and maintenance of the network and the applications that it supports. It also includes hardware and
software components, programs, and system and user documentation.
Event-Condition-Action (ECA): type of imperative policy in which actions can only execute if the event and
condition clauses are true
NOTE: An ECA policy rule is activated when its event clause is true; the condition clause is then evaluated and,
if true, enables the execution of one or more actions in the action clause. This type of policy explicitly
defines the current and desired states of the system being managed.
Experiential Networked Intelligence (ENI): processes associated with assimilating and understanding knowledge and
learning through experience
NOTE: Adding closed-loop artificial intelligence mechanisms based on context-awa
...