Intent Classification China Telecom
Xicheng District No.118 Xizhimennei street Beijing 100035 China lichen6@chinatelecom.cn
Huawei Technologies
Ireland olga.havel@huawei.com
Huawei Technologies
Ireland adriana.olariu@huawei.com
NICT
Japan pedro@nict.go.jp
Federal University of Rio Grande do Sul (UFRGS)
Porto Alegre RS Brazil jcnobre@inf.ufrgs.br
Telefonica I+D
Don Ramon de la Cruz, 82 Madrid 28006 Spain diego.r.lopez@telefonica.com
Network Management intent taxonomy intent-based network intent users intent categories intent types network management network automation network intent network service network orchestration intent translation Intent is an abstract, high-level policy used to operate a network. An intent-based management system includes an interface for users to input requests and an engine to translate the intents into the network configuration and manage their life cycle. This document mostly discusses the concept of network intents, but other types of intents are also considered. Specifically, this document highlights stakeholder perspectives of intent, methods to classify and encode intent, and the associated intent taxonomy; it also defines relevant intent terms where necessary, provides a foundation for intent-related research, and facilitates solution development. This document is a product of the IRTF Network Management Research Group (NMRG).
Status of This Memo This document is not an Internet Standards Track specification; it is published for informational purposes. This document is a product of the Internet Research Task Force (IRTF). The IRTF publishes the results of Internet-related research and development activities. These results might not be suitable for deployment. This RFC represents the consensus of the Network Management Research Group of the Internet Research Task Force (IRTF). Documents approved for publication by the IRSG are not candidates for any level of Internet Standard; see Section 2 of RFC 7841. Information about the current status of this document, any errata, and how to provide feedback on it may be obtained at .
Copyright Notice Copyright (c) 2022 IETF Trust and the persons identified as the document authors. All rights reserved. This document is subject to BCP 78 and the IETF Trust's Legal Provisions Relating to IETF Documents () in effect on the date of publication of this document. Please review these documents carefully, as they describe your rights and restrictions with respect to this document.
Table of Contents
  • .  Introduction
    • .  Research Activities
    • .  Standards and Open-Source Activities
    • .  Scope
  • .  Abbreviations
  • .  Definitions
  • .  Abstract Intent Requirements
    • .  What is intent?
    • .  Intent Solutions and Intent Users
    • .  Benefits of Intents for Different Stakeholders
    • .  Intent Types That Need to Be Supported
  • .  Functional Characteristics and Behavior
    • .  Abstracting Intent Operation
    • .  Intent User Types
    • .  Intent Scope
    • .  Intent Network Scope
    • .  Intent Abstraction
    • .  Intent Life Cycle
    • .  Autonomous Driving Levels
  • .  Intent Classification
    • .  Intent Classification Methodology
    • .  Intent Taxonomy
    • .  Intent Classification for Carrier Solution
      • .  Intent Users and Intent Types
      • .  Intent Categories
      • .  Intent Classification Example
    • .  Intent Classification for Data Center Network Solutions
      • .  Intent Users and Intent Types
      • .  Intent Categories
      • .  Intent Classification Example
    • .  Intent Classification for Enterprise Solution
      • .  Intent Users and Intent Types
      • .  Intent Categories
  • .  Conclusions
  • .  Security Considerations
  • .  IANA Considerations
  • . Informative References
  • Acknowledgments
  • Contributors
  • Authors' Addresses
Introduction The vision of intent-based networks has attracted a lot of attention because it promises to simplify the management of networks by human operators. This is done by simply specifying what should happen on the network without giving any instructions on how to do it. This promise caused many researcher-led activities and telecom companies to start researching this new vision and many Standards Development Organizations (SDOs) to propose different intent frameworks. This document proposes an intent classification methodology and an intent taxonomy. The scope of these proposals is to ensure a common understanding in the research community in terms of what the intent users, intent types, or intent solutions, etc., are for specific scenarios that are being considered. The document represents the consensus of the Network Management Research Group (NMRG). It has been reviewed extensively by the Research Group (RG) members who are actively involved in the research and development of the technology covered by this document. It is not an IETF product and is not a standard.
Research Activities Intent-based networking is an active research topic spanning across different areas that could benefit from an intent classification and taxonomy. Some examples include:
  • intent expression and recognition (, , ). The use of a common classification could provide consistency in the understanding of the various forms of intent expressions being proposed and investigated.
  • the orchestration of cognitive autonomous radio access networks (RANs) where intents are classified based on their content.
  • intent network verification , where the authors are working to propose new intent language.
Furthermore, this document is already proving to be extremely relevant to the research community as it has been used as the basis for proposing self-generated Intent-based systems , for advancing Virtual Network Function (VNF) placement solutions based on Internet-Based Networks (IBNs) that rely on defining user intent profiles corresponding to abstract network services , for improving existing solutions in provisioning intent-based networks, for proposing new approaches to service management , and even for defining grammars for users to specify the high-level requirements for blockchain selection in the form of intent . As well, the document has been mentioned in surveys addressing the topic of intelligent intent-based autonomous networks . This document also describes an example on how this proposal has been successfully applied in an academic environment by researchers in the area of Software-Defined Networking / Network Function Virtualization (SDN/NFV) for defining the scope of their project. The specific problem addressed by researchers is how to apply intent concepts at different levels that correspond to different stakeholders. The IEEE Communications Society Technical Committee on Network Operation and Management (IEEE-CNOM), IRTF Network Management Research Group, and IFIP WG6.6 have developed a taxonomy for network and service management that is used by the research community in network management and operations to structure the research area through a well-defined set of keywords and to improve quality of reviews in submissions to journals, conferences, and workshops. The proposed intent taxonomy may be contributed as an extension to this taxonomy for intent-driven management.
Standards and Open-Source Activities Several SDOs and open-source projects, such as the IRTF NMRG, Open Networking Foundation (ONF) / Open Network Operating System (ONOS) , European Telecommunications Standards Institute (ETSI) / Experiential Networked Intelligence (ENI), and TMF with its autonomous networks, have proposed intents for defining a set of network operations to execute in a declarative manner. More recently, the IRTF NMRG is working on "Intent-Based Networking - Concepts and Definitions" . This document clarifies the concept of "Intent" and provides an overview of the functionality that is associated with it. The goal is to contribute towards a common and shared understanding of terms, concepts, and functionality that can be used as the foundation to guide further definition of associated research and engineering problems and their solutions. The present document, together with , aims to become the foundation for future intent-related topic discussions regarding the NMRG. The SDOs usually come up with their own way of specifying an intent and their own understanding of what an intent is. Additionally, each SDO defines a set of terms and level of abstraction, its intent users, and the applications and usage scenarios. However, most intent approaches proposed by SDOs share the same features:
  • It must be declarative in nature, meaning that an intent user specifies the goal on the network without specifying how to achieve that goal.
  • It must be vendor agnostic in the sense that it abstracts the network capabilities or the network infrastructure from the intent user, and it can be ported across different platforms.
  • It must provide an easy-to-use interface, which simplifies the interaction of the intent users with the intent system through the usage of familiar terminology or concepts.
  • It should be able to detect and resolve intent conflicts, which include, for example, static (compile-time) conflicts and dynamic (run-time) conflicts.
Scope The focus of this document is on the definition of criteria enabling the categorization of intents from viewpoint of the stakeholders. Concepts and definitions related to IBN are provided in . This document mostly addresses intents in the context of network intents; however, other types of intents are not excluded, as presented in Sections and . It is impossible to fully differentiate intents only by the common characteristics followed by concepts, terms, and intentions. This document clarifies what an intent represents for different stakeholders through a classification on various dimensions, such as solutions, intent users, and intent types. This classification ensures common understanding among all participants and is used to determine the scope and priority of individual projects, proof of concepts (PoCs), research initiatives, or open-source projects. The scope of intent classification in this document includes solutions, intent users, and intent types; the initial classification table is made according to this scope. The methodology presented can be used to update the classification tables by adding or removing different solutions, intent users, or intent types to cater to future scenarios, applications, or domains.
Abbreviations
AI:
Artificial Intelligence
CE:
Customer Equipment
CFS:
Customer Facing Service
CLI:
Command-Line Interface
DB:
Database
DC:
Data Center
ECA:
Event Condition Action
GBP:
Group-Based Policy
GPU:
Graphics Processing Unit
IBN:
Intent-Based Network
NFV:
Network Function Virtualization
O&M:
OAM & Maintenance
ONF:
Open Networking Foundation
ONOS:
Open Network Operating System
PNF:
Physical Network Function
QoE:
Quality of Experience
RFS:
Resource Facing Service
SDO:
Standards Development Organization
SD-WAN:
Software-Defined Wide-Area Network
SLA:
Service Level Agreement
SUPA:
Simplified Use of Policy Abstractions
VM:
Virtual Machine
VNF:
Virtual Network Function
Definitions A common and shared understanding of terms and definitions related to IBN is provided in as follows:
Intent:
A set of operational goals (that a network should meet) and outcomes (that a network is supposed to deliver) defined in a declarative manner without specifying how to achieve or implement them.
Intent-Based Network:
A network that can be managed using intent.
Policy:
A set of rules that governs the choices in behavior of a system.
Intent User:
A user that defines and issues the intent request to the intent-based management system.
Other definitions relevant to this document, such as intent scope, intent network scope, intent abstraction, intent abstraction, and intent life cycle are available in .
Abstract Intent Requirements In order to understand the different intent requirements that would drive intent classification, we first need to understand what intent means for different intent users.
What is intent? The term "Intent" has become very widely used in the industry for different purposes; sometimes its use is not even in agreement with SDO-shared principles mentioned in . brings clarification with relation to what an intent is and how it differentiates from policies and services. Different stakeholders have different perspectives of the network; therefore, they have different intent requirements. Their intent is sometimes technical, non-technical, abstract, or technology specific. Therefore, it is important to start a discussion in the industry and academic communities about what intent is for different solutions and intent users. It is also imperative to try to propose some intent categories/classifications that could be understood by a wider audience. This would help us define intent interfaces, domain-specific languages, and models.
Intent Solutions and Intent Users Intent types are defined by all aspects that are required to profile different requirements to easily distinguish between them. However, in order to facilitate a clustered classification, we can focus on two aspects: the solution and intent user. They can be considered to be the main keys to classify intents, as we can easily group requirements by solution and intent user. On the one hand, different solutions and intent users have different requirements, expectations, and priorities for intent-based networking. Therefore, intent users require different intent types, depending on their context, since they participate in different use cases. For instance, some intent users are more technical and require intents that expose more technical information. Other intent users do not have knowledge of the network infrastructure and require intents that shield them from different networking concepts and technologies. The following are the solutions and intent users that intent-based networking needs to support: Intent Solutions and Intent Users
Solutions Intent Users
Carrier Networks Network Operators, Service Designers / App Developers, Service Operators, Customers / Subscribers
DC Networks Cloud Administrators, Underlay Network Administrators, Application Developers, Customers / Tenants
Enterprise Networks Enterprise Administrators, Application Developers, End Users
These intent solutions and intent users represent a starting point for the classification and are expendable through the methodology presented in .
  • For carrier network scenarios, for example, if a customer/subscriber wants to watch high-definition video, then the intent is to convert the video image to 1080p.
  • For DC network scenarios, administrators have their own clear network intent such as load balancing. For all traffic flows that need NFV service chaining, they can restrict the maximum load of any VNF node / container below 50% and the maximum load of any network link below 70%.
  • For enterprise network scenarios, when hosting a video conference, multiple remote accesses are required. An example of the intent from the network administrator is as follows: for any end user of this application, the arrival time of hologram objects of all the remote tele-presenters should be synchronized within 50 ms to reach the destination viewer for each conversation session.
Benefits of Intents for Different Stakeholders Current network APIs and CLIs are too complex because they are highly integrated with the low-level concepts exposed by networks. Customers, application developers, and end users must not be required to set IP addresses, VLANs, subnets, or ports, whereas operators may still want to have both more technical and network visibility. All stakeholders would benefit from simpler interfaces, such as:
  • request gold VPN service between sites A, B, and C
  • provide CE redundancy for the customer sites
  • add access rules to the network service
Operators and administrators manually troubleshoot and fix their networks and services. They instead want to:
  • simplify and automate network operations
  • simplify definitions of network services
  • provide simple customer APIs for value-added services (operators)
  • be informed if the network or service is not behaving as requested
  • enable automatic optimization and correction for selected scenarios
  • have systems that learn from historic information and behavior
Currently, intent users cannot build their own services and policies without becoming technical experts and performing manual maintenance actions. They instead want to be able to:
  • build their own network services with their own policies via simple interfaces, without becoming networking experts
  • have their network services up and running based on intent and automation only, without any manual actions or maintenance
Intent Types That Need to Be Supported Next to the intent solutions and intent users, another way to categorize the intent is through the intent types. The following intent types and subtypes need to be supported in order to address the requirements from different solutions and intent users.
  • Customer service intent
    • for customer self service with SLA
    • for service operator orders
  • Network and underlay network service intent
    • for service operator orders
    • for intent-driven network configuration, verification, correction, and optimization
    • for intent created and provided by the underlay network administrator
  • Network and underlay network intent
    • for network configuration
    • for automated life-cycle management of network configurations
    • for network resources (switches, routers, routing, policies, and underlay)
  • Cloud management intent
    • for DC configuration, VMs, DB servers, and Application servers
    • for communication between VMs
  • Cloud resource management intent
    • for cloud resource life-cycle management (policy-driven self-configuration and auto-scaling and recovery/optimization)
  • Strategy intent
    • for security, QoS, application policies, traffic steering, etc.
    • for configuring and monitoring policies, alarm generation for non-compliance, and auto-recovery
    • for design models and policies for network and network service design
    • for design workflows, models, and policies for operational task intents
  • Operational task intents
    • for network migration
    • for device replacements
    • for network software upgrades
    • for automating any other tasks that operators/administrator often perform
It is important to mention all of the previously mentioned types and subtypes may affect other intents. For example, operational task intent can modify many other intents. The task itself is short lived, but the modification of other intents has an impact on their life cycle, so those changes must continue to be continuously monitored and self corrected/optimized.
Functional Characteristics and Behavior Intent can be used to operate immediately on a target (much like issuing a command) or whenever it is appropriate (e.g., in response to an event). In either case, intent has a number of behaviors that serve to further organize its purpose, as described by the following subsections.
Abstracting Intent Operation The modeling of intents can be abstracted using the following three-tuple: {Context, Capabilities, Constraints}
  • Context grounds the intent and determines if it is relevant or not for the current situation. Thus, context selects intents based on applicability.
  • Capabilities describe the functionality that the intent can perform. Capabilities take different forms depending on the expressivity of the intent as well as the programming paradigm(s) used.
  • Constraints define any restrictions on the capabilities to be used for that particular context.
Metadata can be attached via strategy templates to each of the elements of the three-tuple and may be used to describe how the intent should be used and how it operates as well as prescribe any operational dependencies that must be taken into account. Although different intent categories share the same abstracted intent model, each category will have its own specific context, capabilities, and constraints.
Intent User Types Expanding on the introduction in , intent user types represent the intent users that define and issue the intent request. Depending on the intent solutions, there are specific intent users. Examples of intent users are customers, network operators, service operators, enterprise administrators, cloud administrators, underlay network administrators, or application developers.
  • Customers and end users do not necessarily know the functional and operational details of the network that they are using. Furthermore, they lack skills to understand such details; in fact, such knowledge is typically not relevant to their job. In addition, the network may not expose these details to its intent users. This class of intent users focuses on the applications that they run and uses services offered by the network. Hence, they want to specify policies that provide consistent behavior according to their business needs. They do not have to worry about how the intents are deployed onto the underlying network and especially whether the intents need to be translated to different forms to enable network elements to understand them.
  • Application developers work in a set of abstractions defined by their application and programming environment(s). For example, many application developers think in terms of objects (e.g., a VPN). While this makes sense to the application developer, most network devices do not have a VPN object per se; rather, the VPN is formed through a set of configuration statements for that device in concert with configuration statements for the other devices that together make up the VPN. Hence, the view of application developers matches the services provided by the network but may not directly correspond to other views of other intent users.
  • Network operators may have the knowledge of the underlying network. However, they may not understand the details of the applications and services of customers.
Intent Scope Intents are used to manage the behavior of the networks they are applied to and all intents are applied within a specific scope, such as:
  • connectivity scope, if the intent creates or modifies a connection
  • security/privacy scope, if the intent specifies the security characteristics of the network, customers, or end users
  • application scope, when the intent specifies the applications to be affected by the intent request
  • QoS scope, when the intent specifies the QoS characteristics of the network
These intent scopes are expendable through the methodology presented in .
Intent Network Scope Regardless of the intent user type, their intent request affects the network, or network components, which are representing the intent targets. Thus, the intent network scope, or policy target as known in the area of declarative policy, can represent VNFs or PNFs, physical network elements, campus networks, SD-WANs, RANs, cloud edges, cloud cores, branches, etc.
Intent Abstraction Intent can be classified by whether it is necessary to feed back technical network information or non-technical information to the intent user after the intent is executed. As well, intent abstraction covers the level of technical details in the intent itself.
  • Non-technical intent users do not care how the intent is executed nor do they care about the details of the network. As a result, they do not need to know the configuration information of the underlying network. They only focus on whether the intent execution result achieves the goal and the execution effect such as the quality of completion and the length of execution. In this scenario, we refer to an abstraction without technical feedback.
  • Administrators, such as network administrators, perform intents, such as allocating network resources, selecting transmission paths, handling network failures, etc. They require multiple feedback indicators for network resource conditions, congestion conditions, fault conditions, etc., after execution. In this case, we refer to an abstraction with technical feedback.
As per the definition of "intent" provided in , lower-level intents are not considered to qualify as intents. However, we kept this classification to identify any PoCs / Demos / Use Cases that still either require or implement a lower level of abstraction for intents.
Intent Life Cycle Intents can be classified into transient and persistent intents:
Transient:
The intent has no life-cycle management. As soon as the specified operation is successfully carried out, the intent is finished and can no longer affect the target object.
Persistent:
The intent has life-cycle management. Once the intent is successfully activated and deployed, the system will keep all relevant intents active until they are deactivated or removed.
Autonomous Driving Levels In different phases of the autonomous driving network , the intents are different. Depending on the Autonomous Network Level of the overall solution, we may have different intent requirements and types. For example, at lower levels, the customer intent is:
  • automatically converted to configuration policies only while at the higher levels,
  • covering the full life cycle,
  • converted to both configuration and monitoring policies, and
  • self assured using AI.
Typical examples of autonomous driving networks level 0 to 5 are shown below.
Level 0 - Traditional manual network:
O&M personnel manually control the network and obtain network alarms and logs. - No intent
Level 1 - Partially automated network:
Automated scripts are used to automate service provisioning, network deployment, and maintenance. The network provides shallow perception of the network status and decision making suggestions. - No intent
Level 2 - Automated network:
This entails the automation of most service provisioning, network deployment, and maintenance of a comprehensive perception of network status and local machine decision-making. - simple intent on service provisioning
Level 3 - Self-optimization network:
This entails a deep awareness of network status and automatic network control, meeting requirements of intent users of the network. - Intent based on network status cognition
Level 4 - Partial autonomous network:
In a limited environment, people do not need to participate in decision-making and networks can adjust themselves. - Intent based on limited AI
Level 5 - Autonomous network:
In different network environments and network conditions, the network can automatically adapt and adjust to meet people's intentions. - Intent based on AI
Intent Classification This section proposes an approach to intent classification that may help to classify mainstream intent-related demos/tools. The three classifications in this document have been proposed from scratch (following the methodology presented) through three iterations: one for a carrier network intent solution, one for a DC intent solution, and one for an enterprise intent solution. For each intent solution, we identified the specific intent users and intent types. Then, we further identified intent scope, network scope, abstractions, and life-cycle requirements. These classifications and the generated tables can be easily extended. For example, for the DC intent solution, a new category "resource scope" is identified, and the classification table has been extended accordingly. In the future, as new scenarios, applications, and domains emerge, new classifications and taxonomies can be identified, following the proposed methodology. The intent classifications have been documented to the best of our knowledge at the time of writing. Additional classifications will most likely come to light in the future. The output of the intent classification is the intent taxonomy introduced in the subsections of this section. Thus, the subsections of introduce the proposed intent classification methodology, the consolidated intent taxonomy for three intent solutions, and the concrete examples of intent classifications for three different intent solutions (e.g., carrier network, data center, and enterprise) that were derived using the proposed methodology and can be filled in for PoCs, demos, research projects, or future documents.
Intent Classification Methodology This section describes the methodology used to derive the initial classification proposed in the document. The proposed methodology can be used to create new intent classifications from scratch by analyzing the solution knowledge. As well, the methodology can be used to update existing classification tables by adding or removing different solutions, intent users, or intent types in order to cater to future scenarios, applications, or domains.
Intent Classification Methodology +------------------------------------------+ |Solution Knowledge (requirements, | |use cases, technologies, network, intent | |users, intent requirements) | +----------------+-------------------------+ | Input Rx=Read | Ux=Update (Add/Remove) +--------V--------+ |1.Identify Intent| | Solution +------------+ | | | +---------^-+-----+ | R1 | | U1 | +---------------+ U8 | | R2 +--v----------------+ |8.Identify New +---------+ | | +-----------> 2.Identify | | Categories | R8 | | | | U2 | Intent | | <-------- | | | | +---------+ User Types | +--------^------+ | | | | | | +-------|-----------+ | | | | | | | | | ++-+-v-v---+-v-+ | +--------+------+ U7 | | R3 +------v------------+ |7.Identify +------> Intent +--------> 3.Identify | | Life-Cycle | R7 |Classification| U3 | Type | | Requirements <------+ <--------+ of Intent | +--------^------+ +^--^-+--^-+---+ +------|------------+ | || | | | | | | || | | | | | +--------+-----+ || | | | | R4 +-------v-----------+ |6.Identify | U6 || | | | +-----------> 4.Identify | | Abstractions+---------| | | | U4 | Intent | | <---------+ | | +-------------+ Scope | +-------^------+ R6 | | +-------+-----------+ | | | | | U5 | |R5 | | +-------+-v--------+ | | |5.Identify Network| | +----------+ Scope <---------------+ +------------------+
The intent classification workflow starts from the solution knowledge, which can provide information on requirements, use cases, technologies used, network properties, intent users that define and issue the intent request, and requirements. The following defines the steps to classify an intent:
  1. Receive the information provided in the solution knowledge as input for identifying the intent solution (e.g., carrier, enterprise, and data center). Intent solutions are reviewed against the existing classification and can either be used if present or added if not there; if not needed, they can be removed from the classification (R1-U1).
  2. Identify the intent user types (e.g., customer, network operators, service operators, etc.). Review the existing intent classification. Then use the intent user type if present; add it if it is not there or remove it if not needed (R2-U2).
  3. Identify the types of intent (e.g., network intent, customer service intent). Review the existing classification and then use, add, or remove the intent type (R3-U3).
  4. Identify the intent scopes (e.g., connectivity, application) based on the solution knowledge. Then, review the existing classification. Use, add, or remove the identified intent scope (R4-U4).
  5. Identify the network scopes (e.g., campus, radio access). Then, review the existing classification. Either use, add, or remove the identified network scope (R5-U5).
  6. Identify the abstractions (e.g., technical, non-technical). Then, review the existing classification and either use, add, or remove the abstractions (R6-U6).
  7. Identify the life-cycle requirements (e.g., persistent, transient). Then, review the existing classification. Either use, add, or remove the life-cycle requirements (R7-U7).
  8. Identify any new categories. Use and add the newly identified categories. New categories can be identified as new domains or applications emerge or as new areas of concern (e.g., privacy, compliance) arise that are not listed in the current methodology.
Intent Taxonomy The following taxonomy describes the various intent solutions, intent user types, intent types, intent scopes, network scopes, abstractions, and life cycles. The taxonomy represents the output of the intent classification tables for each of the solutions addressed (i.e., carrier, data center, and enterprise solutions). The intent scope categories in are shared among the carrier, DC, and enterprise solutions. The abbreviations (Cx) in Sections and are introduced with the scope of fitting as column title in the following tables.
Intent Taxonomy +--------------------------------+ +-->|Carrier Enterprise Data Center| | +--------------------------------+ | +--------------------------------+ | |Customer/Subscriber/End User | +----------+ | |Network or Service Operator | +>+Solution +--+ |Application Developer | | +----------+ +->|Enterprise Administrator | | | |Cloud Administrator | | +----------+ | |Underlay Network Administrator | +>+Intent +---+ +--------------------------------+ | |User | +--------------------------------+ | |Type | |Customer Service Intent | | +----------+ |Strategy Intent | | +----------+ |Network Service Intent | +>+Intent +----->|Underlay Network Service Intent | +------+ | |Type | |Network Intent | |Intent+-+ +----------+ |Underlay Network Intent | +------+ | |Operational Task Intent | | +----------+ |Cloud Management Intent | +>+Intent +---+ |Cloud Resource Management Intent| | |Scope | | +--------------------------------+ | +----------+ | +--------------------------------+ | +->|Connectivity Application QoS | | +----------+ |Security/Privacy Storage Compute| +>+Network +---+ +--------------------------------+ | |Scope | | +--------------------------------+ | +----------+ | |Radio Access Branch | | +->|Transport Access SD-WAN | | +----------+ |Transport Aggr. VNF PNF | +>+Abstrac- +----+ |Transport Core Physical | | |tion | | |Cloud Edge Logical | | +----------+ | |Cloud Core Campus | | +----------+ | +--------------------------------+ +>+Life | | +--------------------------------+ |Cycle +--+ +>|Technical Non-Technical | +----------+ | +--------------------------------+ | +--------------------------------+ +-->|Persistent Transient | +--------------------------------+
Intent Classification for Carrier Solution
Intent Users and Intent Types This section addresses steps 1, 2, and 3 from . The following table describes the intent users in carrier solutions and intent types with their descriptions for different intent users. Intent Classification for Carrier Solution
Intent User Intent Type Intent Type Description
Customer/Subscriber Customer Service Intent Customer self service with SLA and value-added service. Example: Always maintain a high quality of service and high bandwidth for gold-level subscribers. Operation statement: Measure the network congestion status, give different adaptive parameters to stations of different priority; thus, in a heavy load situation, make the bandwidth of the high-priority customers guaranteed. At the same time, ensure the overall utilization of the system and improve the overall throughput of the system.
Strategy Intent Customer designs models and policy intents to be used by customer service intents. Example: Request reliable service during peak traffic periods for video-type apps.
Network Operator Network Service Intent Service provided by the network service operator to the customer (e.g., the service operator). Example: Request network service with delay guarantee for access customer A.
Network Intent Network operator requests network-wide (service underlay or other network-wide configuration) or network-resource configurations (switches, routers, routing, or policies). Includes connectivity, routing, QoS, security, application policies, traffic steering policies, alarm generation for non-compliance, auto-recovery, etc. Example: Request high priority queuing for traffic of class A.
Operational Task Intent Network operator requests execution of any automated task other than network service intent and network intent (e.g., network migration, server replacements, device replacements, or network software upgrades). Example: Request migration of all services in network N to backup path P.
Strategy Intent Network operator designs models, policy intents, and workflows to be used by network service intents, network intents, and operational task intents. Workflows can automate any tasks that the network operator often performs in addition to network service intents and network intents. Example: Ensure the load on any link in the network is not higher than 50%.
Service Operator Customer Service Intent Service operator's customer orders, customer service, or SLA. Example: Provide service S with guaranteed bandwidth for customer A.
Network Service Intent Service operator's network orders / network SLA. Example: Provide network guarantees in terms of security, low latency, and high bandwidth.
Operational Task Intent Service operator requests execution of any automated task other than customer service intent and network service intent. Example: Update service operator portal platforms and their software regularly. Move services from network operator 1 to network operator 2.
Strategy Intent Service operator designs models, policy intents, and workflows to be used by customer service intents, network service intents, and operational task intents. Workflows can automate any task that the service operator often performs in addition to network service intents and network intents. Example: Request network service guarantee to avoid network congestion during special periods such as Black Friday and Christmas.
Application Developer Customer Service Intent Customer service intent API provided to the application developers. Example: API to request network to watch HD video (4K/8K).
Network Service Intent Network service intent API provided to the application developers. Example: API to request network service, monitoring, and traffic grooming.
Network Intent Network intent API provided to the application developers. Example: API to request network resource configurations.
Operational Task Intent Operational task intent API provided to the application developers. This is for the trusted internal operator / service providers / customer DevOps. Example: API to request server migrations.
Strategy Intent Application developer designs models, policy, and workflows to be used by customer service intents, network service intents, and operational task intents. This is for the trusted internal operator / service provider / customer DevOps. Example: API to design network load-balancing strategies during peak times.
Intent Categories This subsection addresses steps 4 to 7 from . The following are the proposed categories:
Intent Scope:
C1=Connectivity, C2=Security/Privacy, C3=Application, C4=QoS
Network Scope:
Network Domain:
C1=Radio Access, C2=Transport Access, C3=Transport Aggregation, C4=Transport Core, C5=Cloud Edge, C6=Cloud Core
Network Function (NF) Scope:
C1=VNFs, C2=PNFs
Abstraction (ABS):
C1=Technical (with technical feedback), C2=Non-technical (without technical feedback) (see ).
Life cycle (L-C):
C1=Persistent (full life cycle), C2=Transient (short lived)
Intent Classification Example This section contains an example of how the methodology described in can be used in order to classify intents introduced in the "A Multi-Level Approach to IBN" PoC demonstration . This PoC is led by academics carrying out research in the area of SDN/NFV, and the specific problem they are addressing is the application of the intent concept at different levels that correspond to different stakeholders. For this research work, they considered two types of intents: slice intents and service chain intents. In this PoC , a slice intent expresses a request for a network slice with two types of components: a set of top-layer virtual functions and a set of virtual switches and/or routers of L2/L3 VNFs. A service chain intent expresses a request for a service operated through a chain of service components running in L4-L7 virtual functions. Following the intent classification methodology described step by step in , the following can be derived:
  1. The intent solution for both intents is carrier network.
  2. The intent user type is network operator for the slice intent and service operator for the service chain intent.
  3. The type of intent is a network service intent for the slice intent and a customer service intent for the service chain intent.
  4. The intent scopes are connectivity and application.
  5. The network scope is VNF, cloud edge, and cloud core.
  6. The abstractions are with technical feedback for the slice intent and without technical feedback for the service chain intent.
  7. The life cycle is persistent.
The following table shows how to represent this information in a tabular form. The "X" in the table refers to the slice intent; the "Y" in the table refers to the service chain intent.
Intent Classification Example for Carrier Solution +==========+===========+===========+=====+=================+=====+=====+ |Intent |Intent Type|Intent |NF |Network |ABS |L-C | |User | |Scope |Scope|Scope | | | | | +==+==+==+==+==+==+==+==+==+==+==+==+==+==+==+==+ | | |C1|C2|C3|C4|C1|C2|C1|C2|C3|C4|C5|C6|C1|C2|C1|C2| +==========+===========+==+==+==+==+==+==+==+==+==+==+==+==+==+==+==+==+ |Customer/ |Customer | | | | | | | | | | | | | | | | | |Subscriber|Service | | | | | | | | | | | | | | | | | | |Intent | | | | | | | | | | | | | | | | | | +-----------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | |Strategy | | | | | | | | | | | | | | | | | | |Intent | | | | | | | | | | | | | | | | | +----------+-----------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ |Network |Network |X | |X | |X | | | | | |X | |X | |X | | |Operator |Service | | | | | | | | | | | | | | | | | | |Intent | | | | | | | | | | | | | | | | | | +-----------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | |Network | | | | | | | | | | | | | | | | | | |Intent | | | | | | | | | | | | | | | | | | +-----------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | |Operational| | | | | | | | | | | | | | | | | | |Task Intent| | | | | | | | | | | | | | | | | | +-----------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | |Strategy | | | | | | | | | | | | | | | | | | |Intent | | | | | | | | | | | | | | | | | +----------+-----------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ |Service |Customer |Y | |Y | |Y | | | | | |Y |Y | |Y |Y | | |Operator |Intent | | | | | | | | | | | | | | | | | | +-----------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | |Network | | | | | | | | | | | | | | | | | | |Service | | | | | | | | | | | | | | | | | | |Intent | | | | | | | | | | | | | | | | | | +-----------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | |Op Task | | | | | | | | | | | | | | | | | | |Intent | | | | | | | | | | | | | | | | | | +-----------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | |Strategy | | | | | | | | | | | | | | | | | | |Intent | | | | | | | | | | | | | | | | | +----------+-----------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ |App |Customer | | | | | | | | | | | | | | | | | |Developer |Intent | | | | | | | | | | | | | | | | | | +-----------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | |Network | | | | | | | | | | | | | | | | | | |Service | | | | | | | | | | | | | | | | | | |Intent | | | | | | | | | | | | | | | | | | +-----------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | |Network | | | | | | | | | | | | | | | | | | |Intent | | | | | | | | | | | | | | | | | | +-----------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | |Op Task | | | | | | | | | | | | | | | | | | |Intent | | | | | | | | | | | | | | | | | | +-----------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | |Strategy | | | | | | | | | | | | | | | | | | |Intent | | | | | | | | | | | | | | | | | +----------+-----------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+
Intent Classification for Data Center Network Solutions
Intent Users and Intent Types The following table describes the intent users in DC network solutions and intent types with their descriptions for different intent users. Intent Classification for Data Center Network Solutions
Intent User Intent Type Intent Type Description
Customer/Tenants Customer Service Customer self service via tenant portal. Example: Request GPU computing and storage resources to meet 10k video surveillance services.
Strategy Intent This includes models and policy intents designed by customers/tenants to be reused later during instantiation. Example: Request dynamic computing and storage resources of the service in special and daily times.
Cloud Administrator Cloud Management Intent Configuration of VMs, DB Servers, app servers, and communication between servers and VMs. Example: Request connectivity between VMs A, B, and C in network N1.
Cloud Resource Management Intent Policy-driven self configuration and recovery/optimization. Example: Request automatic life-cycle management of VM cloud resources.
Operational Task Intent Cloud administrator requests execution of any automated task other than cloud management intents and cloud resource management intents. Example: Request upgrade operating system to version X on all VMs in network N1. Operational statement: An intent to update a system might reconfigure the system topology (connect to a service and to peers), exchange data (update the content), and uphold a certain QoE level (allocate sufficient network resources). Thus, the network carries out the necessary configuration to best serve such an intent, e.g., setting up direct connections between terminals and allocating fair shares of router queues considering other network services.
Strategy Intent Cloud administrator designs models, policy intents, and workflows to be used by other intents. Automate any tasks that administrator often performs in addition to life cycle of cloud management intents and cloud management resource intents. Example: In case of emergency, automatically migrate all cloud resources to DC2.
Underlay Network Administrator Underlay Network Service Intent Service created and provided by the underlay network administrator. Example: Request underlay service between DC1 and DC2 with bandwidth B.
Underlay Network Intent Underlay network administrator requests some DCN-wide underlay network configuration or network resource configurations. Example: Establish and allocate DHCP address pool.
Operational Task Intent Underlay network administrator requests execution of any automated task other than underlay network service and resource intent. Example: Request automatic rapid detection of device failures and pre-alarm correlation.
Strategy Intent Underlay network administrator designs models, policy intents, and workflows to be used by other intents. Automate any tasks that the administrator often performs. Example: For all traffic flows that need NFV service chaining, restrict the maximum load of any VNF node/container below 50% and the maximum load of any network link below 70%.
Application Developer Cloud Management Intent Cloud management intent API provided to the application developers. Example: API to request configuration of VMs or DB Servers.
Cloud Resource Management Intent Cloud resource management intent API provided to the application developers. Example: API to request automatic life-cycle management of cloud resources.
Underlay Network Service Intent Underlay network service API provided to the application developers. Example: API to request real-time monitoring of device condition.
Underlay Network Intent Underlay network resource API provided to the application developers. Example: API to request dynamic management of IPv4 address pool resources.
Operational Task Intent Operational task intent API provided to the trusted application developer (internal DevOps). Example: API to request automatic rapid detection of device failures and pre-alarm correlation.
Strategy Intent Application developer designs models, policy intents, and building blocks to be used by other intents. This is for the trusted internal DCN DevOps. Example: API to request load-balancing thresholds.
Intent Categories The following are the proposed categories:
Intent Scope:
C1=Connectivity, C2=Security/Privacy, C3=Application, C4=QoS, C5=Storage, C6=Compute
Network Scope
Network Domain:
DC Network
DCN Network (DCN Net) Scope:
C1=Logical, C2=Physical
DCN Resource (DCN Res) Scope:
C1=Virtual, C2=Physical
Abstraction (ABS):
C1=Technical (with technical feedback), C2=Non-technical (without technical feedback) (see ).
Life cycle (L-C):
C1=Persistent (full life cycle), C2=Transient (short lived)
Intent Classification Example This section depicts an example on how the methodology described in can be used by the research community to classify intents. As mentioned in , a successful use of the classification proposed in this document is introduced in the PoC demonstration titled "A Multi-Level Approach to IBN" . The PoC is led by academics carrying out research in the area of SDN/NFV; the specific problem they are addressing is the application of the intent concept at different levels that correspond to different stakeholders. For their research work, they considered two types of intents: slice intents and service chain intents. For the data center solution, only the slice intent is relevant. As already mentioned in , a slice intent expresses a request for a network slice with two types of components: a set of top-layer virtual functions and a set of virtual switches and/or routers of L2/L3 VNFs. Following the intent classification methodology described step by step in , we identify the following:
  1. The intent solution is data center.
  2. The intent user type is the cloud administrator for the slice intent and service chain intent.
  3. The type of intent is a cloud management intent for the slice intent.
  4. The intent scopes are connectivity and application.
  5. The network scope is logical; the resource scope is virtual.
  6. The abstractions are with technical feedback for the slice intent.
  7. The life cycle is persistent.
The following table shows how to represent this information in a tabular form; the "X" in the table refers to the slice intent.
Intent Classification Example for Data Center Network Solutions +===========+=============+=================+=====+=====+=====+=====+ |Intent User| Intent Type |Intent |DCN |DCN |ABS |L-C | | | |Scope |Res |Net | | | | | +==+==+==+==+==+==+==+==+==+==+==+==+==+==+ | | |C1|C2|C3|C4|C5|C6|C1|C2|C1|C2|C1|C2|C1|C2| +===========+=============+==+==+==+==+==+==+==+==+==+==+==+==+==+==+ |Customer/ | Customer | | | | | | | | | | | | | | | |Tenants | Service | | | | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | | Strategy | | | | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | | | +-----------+-------------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ |Cloud Admin| Cloud |X | |X | | | |X | |X | |X | |X | | | | Management | | | | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | | Cloud | | | | | | | | | | | | | | | | | Resource | | | | | | | | | | | | | | | | | Management | | | | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | | Operational | | | | | | | | | | | | | | | | | Task Intent | | | | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | | Strategy | | | | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | | | +-----------+-------------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ |Underlay | Underlay | | | | | | | | | | | | | | | |Network | Network | | | | | | | | | | | | | | | |Admin | Intent | | | | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | | Underlay | | | | | | | | | | | | | | | | | Network | | | | | | | | | | | | | | | | | Resource | | | | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | | Operational | | | | | | | | | | | | | | | | | Task Intent | | | | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | | Strategy | | | | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | | | +-----------+-------------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ |App | Cloud | | | | | | | | | | | | | | | |Developer | Management | | | | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | | Cloud | | | | | | | | | | | | | | | | | Resource | | | | | | | | | | | | | | | | | Management | | | | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | | Underlay | | | | | | | | | | | | | | | | | Network | | | | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | | Underlay | | | | | | | | | | | | | | | | | Network | | | | | | | | | | | | | | | | | Resource | | | | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | | Operational | | | | | | | | | | | | | | | | | Task Intent | | | | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | | Strategy | | | | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | | | +-----------+-------------+--+--+--+--+--+--+--+--+--+--+--+--+--+--+
Intent Classification for Enterprise Solution
Intent Users and Intent Types The following table describes the intent users in enterprise solutions and their intent types. Intent Classification for Enterprise Solution
Intent User Intent Type Intent Type Description
End User Customer Service Intent Enterprise end user self service or applications; enterprise may have multiple types of end users. Example: Request access to VPN service. Request video conference between end user A and B.
Strategy Intent This includes models and policy intents designed by end users to be used by end-user intents and their applications. Example: Create a video conference type for a weekly meeting.
Enterprise Administrator (internal or MSP) Network Service Intent Service provided by the administrator to the end users and their applications. Example: For any end user of application X, the arrival of hologram objects of all the remote tele-presenters should be synchronized within 50 ms to reach the destination viewer for each conversation session. Create management VPN connectivity for type of service A. Operational statement: The job of the network layer is to ensure that the delay is between 50-70 ms through the routing algorithm. At the same time, the node resources need to meet the bandwidth requirements of 4K video conferences.
Network Intent Administrator requires network-wide configuration (e.g., underlay or campus) or resource configuration (switches, routers, or policies). Example: Configure switches in campus network 1 to prioritize traffic of type A. Configure YouTube as business non-relevant.
Operational Task Intent Administrator requests execution of any automated task other than network service intents and network intents. Example: Request network security automated tasks such as web filtering and DDoS cloud protection.
Strategy Intent Administrator designs models, policy intents, and workflows to be used by other intents. Automate any tasks that the administrator often performs. Example: In case of emergency, automatically shift all traffic of type A through network N.
Application Developer End-User Intent End-user service / application intent API provided to the application developers. Example: API for request to open a VPN service.
Network Service Intent Network service API provided to application developers. Example: API for request network bandwidth and latency for hosting a video conference.
Network Intent Network API provided to application developers. Example: API for requesting network device configuration.
Operational Task Intent Operational task intent API provided to the trusted application developer (internal DevOps). Example: API for requesting automatic monitoring and interception for network security.
Strategy Intent Application developer designs models, policy intents, and building blocks to be used by other intents. This is for the trusted internal DevOps. Example: API for strategy intent in case of emergencies.
Intent Categories The following are the proposed categories:
Intent Scope:
C1=Connectivity, C2=Security/Privacy, C3=Application, C4=QoS
Network (Net) Scope:
C1=Campus, C2=Branch, C3=SD-WAN
Abstraction (ABS):
C1=Technical (with technical feedback), C2=Non-technical (without technical feedback) (see )
Life cycle (L-C):
C1=Persistent (full life cycle), C2=Transient (short lived)
The following is the intent classification table example for enterprise solutions.
Intent Categories for Enterprise Solution +---------------+-------------+-----------+--------+-----+-----+ | Intent User | Intent Type | Intent | Net | ABS | L-C | | | | Scope | | | | | | +-----------+--------+-----+-----+ | | |C1|C2|C3|C4|C1|C2|C3|C1|C2|C1|C2| +---------------+-------------+--+--+--+--+--+--+--+--+--+--+--+ | End User | Customer | | | | | | | | | | | | | | Service | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+ | | Strategy | | | | | | | | | | | | | | Intent | | | | | | | | | | | | +---------------+-------------+--+--+--+--+--+--+--+--+--+--+--+ | Enterprise | Network | | | | | | | | | | | | | Administrator | Service | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+ | | Network | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+ | | Operational | | | | | | | | | | | | | | Task | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+ | | Strategy | | | | | | | | | | | | | | Intent | | | | | | | | | | | | +---------------+-------------+--+--+--+--+--+--+--+--+--+--+--+ | Application | End-User | | | | | | | | | | | | | Developer | Intent | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+ | | Network | | | | | | | | | | | | | | Service | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+ | | Network | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+ | | Operational | | | | | | | | | | | | | | Task | | | | | | | | | | | | | | Intent | | | | | | | | | | | | | +-------------+--+--+--+--+--+--+--+--+--+--+--+ | | Strategy | | | | | | | | | | | | | | Intent | | | | | | | | | | | | +---------------+-------------+--+--+--+--+--+--+--+--+--+--+--+
Conclusions This document is aligned with the RG objectives and supports investigations into intent-based networking by proposing an intent categorization methodology and taxonomy. It brings clarification to what an intent represents for different stakeholders through the proposal of an intent classification approach, ensuring that a common understanding among all the participants exists. This, together with the proposed intent taxonomy provides a solid foundation for future intent-related discussions within the NMRG. The benefits of this intent classification document in the research community have been demonstrated through a PoC implementation in which the document's concepts have been applied at different levels corresponding to different stakeholders.
Security Considerations This document identifies security and privacy as categories of the intent scope. The intents could be solely security intents and privacy intents, or security can be embedded in the intents that include also connectivity, application, and QoS scope. Security and privacy scope is when the intent specifies the security characteristics of the network, customers, or end users, and privacy for customers and end users. More details of these security intents will be described in future documents that specify architecture, functionality, user intents, and models. An analysis of the security considerations of the overall intent-based system is provided in .
IANA Considerations This document has no IANA actions.
Informative References Contradiction Management in Intent-driven Cognitive Autonomous RAN Self-Generated Intent-Based System 10th International Conference on Networks of the Future (NoF) To All Intents and Purposes: Towards Flexible Intent Expression IEEE 7th International Conference on Network Softwarization (NetSoft) Programmability and Management of Software-Defined Network Infrastructures Network and Service Management Taxonomy IFIP Refining Network Intents for Self-Driving Networks Proceedings of the Afternoon Workshop on Self-Driving Networks (SelfDN) VNF Placement Problem: A Multi-Tenant Intent-Based Networking Approach 24th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) Intent-driven Autonomous Network and Service Management in Future Networks: A Structured Literature Review Intent NBI - Definition and Principles Open Networking Foundation Intent Framework Design and Implementation of a Blockchain Intent Management System A Multi-Level Approach to IBN IETF 108 Hackathon Report Intent-Based Networking - Concepts and Definitions Intent and Intent-Based Networking are taking the industry by storm. At the same time, terms related to Intent-Based Networking are often used loosely and inconsistently, in many cases overlapping and confused with other concepts such as "policy." This document clarifies the concept of "intent" and provides an overview of the functionality that is associated with it. The goal is to contribute towards a common and shared understanding of terms, concepts, and functionality that can be used as the foundation to guide further definition of associated research and engineering problems and their solutions. This document is a product of the IRTF Network Management Research Group (NMRG). It reflects the consensus of the research group, having received many detailed and positive reviews by research group participants. It is published for informational purposes. I2BN: Intelligent Intent Based Networks Journal of ICT Standardization Volume 9, Issue 2 Safely and automatically updating in-network ACL configurations with intent language SIGCOMM '19: Proceedings of the ACM Special Interest Group on Data Communication Autonomous Networks: Empowering Digital Transformation For The Telecoms Industry
Acknowledgments This document has benefited from reviews, suggestions, comments, and proposed text provided by the following members listed in alphabetical order: , , , , , , , , , , , , , and . We thank , , , and for contributing with their "A multi-level approach to IBN" PoC demonstration, a first attempt to adopt the intent classification methodology.
Contributors The following people all contributed to creating this document: Contributed significant text: China Telecom Huawei Contributed text in early draft versions of this document: China Unicom Huawei Huawei Huawei
Authors' Addresses China Telecom
Xicheng District No.118 Xizhimennei street Beijing 100035 China lichen6@chinatelecom.cn
Huawei Technologies
Ireland olga.havel@huawei.com
Huawei Technologies
Ireland adriana.olariu@huawei.com
NICT
Japan pedro@nict.go.jp
Federal University of Rio Grande do Sul (UFRGS)
Porto Alegre RS Brazil jcnobre@inf.ufrgs.br
Telefonica I+D
Don Ramon de la Cruz, 82 Madrid 28006 Spain diego.r.lopez@telefonica.com