A Survey on Intent-Driven Networks

Pang, Lei; Yang, Chungang; Chen, Danyang; Song, Yanbo; Guizani, Mohsen

doi:10.1109/access.2020.2969208

Cited by 89 publications

(58 citation statements)

References 32 publications

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“…IBN provides intelligence to the networks by using machine learning approaches. This system enables the future communication networks to be self-organized, self-planned, self-healing, and self-assured [32]- [34].…”

Section: B Intent-based Networking Standardsmentioning

confidence: 99%

Network Slice Lifecycle Management for 5G Mobile Networks: An Intent-Based Networking Approach

et al. 2021

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Network slicing in 5G is a solution to accommodate a wide range of services. It also enables the network operators to establish multiple end-to-end (e2e) logically isolated and customized networks with shared or dedicated resources over the same infrastructure. Although, many tools and platforms have been developed to accomplish the management and orchestration (MANO) of e2e network slicing automatically, it is still challenging. Each of these platforms requires expertise and manual effort to define the requirements for the provisioning of the resources. The other issue is the generation of well-defined network slice configurations with lifecycle parameters. To this end, this paper proposes an efficient solution that automates the configuration process and performs the management and orchestration of network slices. This solution contains a one-touch Intent-based Networking (IBN) platform that effectively orchestrates and manages the lifecycle of multi-domain slice resources. IBN automates the process of slice configuration generation, service provisioning, service update, and service assurance by eliminating experts and manual effort. Furthermore, it has an intelligent Deep Learning (DL) based resource update and assurance mechanism which handles the run-time resource scalability and assurance.

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Section: B Intent-based Networking Standardsmentioning

confidence: 99%

Network Slice Lifecycle Management for 5G Mobile Networks: An Intent-Based Networking Approach

et al. 2021

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“…For the past 5 years, intents have been explored by academia, as well as players of different sizes in the networking and communications industries, open-source projects, and standardization organizations. The work [28] presents a survey on intent-driven networks and gives a very comprehensive overview of recent activities. Overall what we have witnessed in all different ways of applying intents is the importance of increasing the flexibility and the abstraction in the communication between different entities (consumers and providers) in networking systems, whether these are service requesters and an SDN controller, end-points of management services or different CLs for service assurance.…”

Section: Related Workmentioning

confidence: 99%

Intent-driven Closed Loops for Autonomous Networks

Gomes¹,

Buhrgard²,

Harmatos³

et al. 2021

JICTS

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Closed loops are key enablers for automation that have been successfully used in many industries for long, and more recently for computing and networking applications. The Zero-touch network and service management (ZSM) framework introduced standardized components that allow the creation, execution, and governance of multiple closed loops, enabling zero-touch management of end-to-end services across different management domains. However, the coordinated and optimal instantiation and operation of multiple closed loops is an open question that is left for implementation by the ZSM specifications. In this paper, we propose a methodology that uses intents as a way of communicating requirements to be considered by autonomous management domains to coordinate hierarchies of closed loops. The intent-driven methodology facilitates hierarchical and peer interactions for delegation and escalation of intents. Furthermore, it extends the existing management capabilities of the ZSM framework and facilitates conflict-free integration of closed loops by setting optimal (and non-conflicting) goals that each closed loop in the hierarchy needs to account for. We show an example of the application of the proposed methodology in a network slicing assurance use case. The new capabilities introduced in this paper can be considered as an extension of the ZSM framework to be used in scenarios where multiple intent-driven closed loops exist.

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“…An important aspect is the network response time to the customer's opinion, which can be reduced with constant monitoring of the QoE and the ability of the network management system to predict the customer response. The FN (Future Network) should memorize and analyze the state of the network and the corresponding evaluation of the quality of services by the customer and be able to adjust the network configuration based on the experience gained [8]. This approach can be implemented by introducing AI (Artificial Intelligence) into the SMS (Service Management System) [9,10].…”

Section: Qoe Achieved By Customersmentioning

confidence: 99%

Customer-Oriented Quality of Service Management Method for the Future Intent-Based Networking

et al. 2020

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The rapid development and spread of communication technologies is now becoming a global information revolution. Customers have a need for communication services, which could be flexibly configured in accordance with their Quality of Experience (QoE) requirements. Realizing the close connection between customer experience and profitability, the service provider has been placing more and more attention on customer experience and QoE. The traditional quality of service management method based on SLA (Service Level Agreement) is not sufficient as a means to provide QoE-related contracts between service providers and customers. The current SLA method is mostly limited and focused on technical aspects of QoS (Quality of Service). Furthermore, they do not follow on the network the principles and semantic approach to the QoS specification for a communication service using QoE parameters. In this paper, we propose a customer-oriented quality of service management method for future IBN (Intent-Based Networking). It is based on a new QoE metric on a scale from 1 to 5, which allows one to take into account the commercial value of e-services for customers. Based on this approach, the network configuration and functionality of network equipment automatically changes depending on customer requirements. To implement the new method of service quality management, an algorithm for routing data packets in the network was developed, taking into account the current load of the forecast path. The algorithm of billing system functioning in conditions of customer-oriented quality management in telecommunication networks has been created. To investigate the effectiveness of the proposed method of service quality management with the traditional SLA method, we developed a simulation network model with the implementation of two approaches. By conducting a simulation, it was determined that the proposed method gives an average gain of 2–5 times for the criterion of the number of customers who require high quality of experience of the service.

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A Survey on Intent-Driven Networks

Cited by 89 publications

References 32 publications

Network Slice Lifecycle Management for 5G Mobile Networks: An Intent-Based Networking Approach

Network Slice Lifecycle Management for 5G Mobile Networks: An Intent-Based Networking Approach

Intent-driven Closed Loops for Autonomous Networks

Customer-Oriented Quality of Service Management Method for the Future Intent-Based Networking

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