From Design to Practice: ETSI ENI Reference Architecture and Instantiation for Network Management and Orchestration Using Artificial Intelligence

Wang, Yue; Forbes, Ray; Elzur, Uri; Strassner, John; Gamelas, Antonio; Wang, Haining; Liu, Shucheng; Pesando, Luca; Yuan, Xiangfeng; Cai, Shengming

doi:10.1109/mcomstd.001.1900039

Cited by 19 publications

(17 citation statements)

References 3 publications

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“…During the first phase, the network operator defines the set of intents that the users can employ. Then, depending on the level of automation in the IDN [27], the operator may optionally associate with each intent an intent handler to define the abstract actions that are taken by the network to fulfill the given intent. These handlers can range in complexity from predefined rules to self-reasoning agents that learn and refine the intent handling using feedback from the network.…”

Section: A Intent Lifecycle Functionalitiesmentioning

confidence: 99%

Mapping Applications Intents to Programmable NDN Data-Planes via Event-B Machines

2022

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Location-agnostic content delivery, in-network caching, and native support for multicast, mobility, and security are key features of the novel named data networks (NDN) paradigm. NDNs are ideal for hosting content-centric next-generation applications such as Internet of things (IoT) and virtual reality. Intent-driven management is poised to enhance the performance of the offered NDN services to these applications while reducing its management complexity. This article proposes I2DN, intent-driven NDN, a novel architecture that aims at realizing the first step towards intent modeling and mapping to data-plane configurations for NDNs. In I2DN, network operators and application developers express their abstract and declarative content delivery and network service goals and constraints using uttered or written intents. The intents are classified using built-in intent templates, and a slot filling procedure identifies the semantics of the intent. We then employ Event-B machine (EBM) language modeling to represent these intents and their semantics. The resulting EBMs are then gradually refined to represent configurations at the NDN programmable data-plane. The advantages of the proposed adoption of EBM modeling are twofold. First, EBMs accurately capture the desired behavior of the network in response to the specified intents and automatically refine it into concrete configurations. Second, EBM's formal verification property, referred to as its proof obligation, ensures that the desired properties of the network or its services, as defined by the intent, remain satisfied by the refined EBM representing the final data-plane configurations. Experimental evaluation results demonstrate the feasibility and efficiency of our proposed work.

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Section: A Intent Lifecycle Functionalitiesmentioning

confidence: 99%

Mapping Applications Intents to Programmable NDN Data-Planes via Event-B Machines

2022

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“…To describe the NG-CDI architecture, it is useful to initially identify the key management functions of an autonomic network [10,12]. The management layer of an autonomic network typically has access to different control and monitoring interfaces to enforce routing and configuration decisions and receive control feedback.…”

Section: Summary Of Requirementsmentioning

confidence: 99%

A Model-Driven and Business Approach to Autonomic Network Management

Bezahaf

Cassidy

Hutchison

et al. 2021

JICTS

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As corporate networks continue to expand, the technologies that underpin these enterprises must be capable of meeting the operational goals of the operators that own and manage them. Automation has enabled the impressive scaling of networks from the days of Strowger. The challenge now is not only to keep pace with the continuing huge expansion of capacity but at the same time to manage a huge increase in complexity – driven by the range of customer solutions and technologies. Recent advances in automation, programmable network interfaces, and model-driven networking will provide the possibility of closed-loop, self-optimizing, and self-healing networks. Collectively these support the goals of a truly automated network, commonly understood as “autonomic networking” even though this is a prospect yet to be achieved. This paper outlines the progress made towards autonomic networking and the framework and procedures developed during the UK Next Generation Converged Digital Infrastructure (NG-CDI) project. It outlines the operator-driven requirements and capabilities that have been identified, and proposes an autonomic management framework, and summarizes current art and the challenges that remain.

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“…ENI has two operation modes: Recommendation mode and Management mode. The former provides insights and advice to the operator or assisted system, whereas the latter may also provide policy commands to the assisted system [35]. In another effort to advance network automation, 3GPP introduced the concept of SON [36] where AI/ML can be applied to automate several network management functions.…”

Section: Intelligent Management and Orchestrationmentioning

confidence: 99%

LEO Satellites in 5G and Beyond Networks: A Review from a Standardization Perspective

Darwish¹,

Kurt²,

Yanıkömeroğlu³

et al. 2021

Preprint

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Low Earth Orbit (LEO) Satellite Network (SatNet) with their mega-constellations are expected to play a key role in providing ubiquitous Internet and communications services in the future. LEO SatNets will provide wide-area coverage and support service availability, continuity, and scalability. To support the integration of SatNets and terrestrial Fifth Generation (5G) networks and beyond, the satellite communication industry has become increasingly involved with the 3rd Generation Partnership Project (3GPP) standardization activities for 5G. In this work, we review the 3GPP standardization activities for the integration of SatNets in 5G and beyond. The 3GPP use cases of SatNets are highlighted and potential requirements to realize them are summarized as well. The impacted areas of New Radio (NR) are discussed with some potential solutions. The foreseen requirements for the management and orchestration of SatNets within 5G are described. Future standardization directions are discussed to support the full integration of SatNets in Sixth Generation (6G) with the goal of ubiquitous global connectivity.

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From Design to Practice: ETSI ENI Reference Architecture and Instantiation for Network Management and Orchestration Using Artificial Intelligence

Cited by 19 publications

References 3 publications

Mapping Applications Intents to Programmable NDN Data-Planes via Event-B Machines

Mapping Applications Intents to Programmable NDN Data-Planes via Event-B Machines

A Model-Driven and Business Approach to Autonomic Network Management

LEO Satellites in 5G and Beyond Networks: A Review from a Standardization Perspective

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