End-to-end service management with multiple providers

Author(s):  
L. H. Bjerring ◽  
J. M. Schneider
2016 ◽  
Vol 54 (3) ◽  
pp. 54-60 ◽  
Author(s):  
Katarzyna Wac ◽  
Mark Cummings ◽  
Jayanta Dey

Author(s):  
Idris Badmus ◽  
Abdelquoddouss Laghrissi ◽  
Marja Matinmikko-Blue ◽  
Ari Pouttu

AbstractLocal 5G networks are emerging as a new form for 5G deployment, targeting service delivery for vertical-specific purposes and other local users. These networks are also known as micro-operator networks for which prior work has established different deployment scenarios, namely Closed, Open and Mixed Networks. To achieve network flexibility, customization and privacy required by various vertical sectors, such as industry, health and energy, it is essential to have a well-defined network slicing architecture and adequate implementation procedure. In this paper, a sophisticated end-to-end network slicing architecture is proposed for different deployment scenarios of the local 5G micro-operator concept. The proposed architecture incorporates a broad four-layer concept, leveraging a multi-tenancy layer for different tenants and their end users, a descriptive service layer, a multi-domain slicing management and orchestration layer, and a resource layer. We further propose a network slice instance (NSI) communication service distribution technique for local 5G micro-operators. This is achieved by expanding/leveraging the communication service management function in the multi-tenant layer into a multi-tenant manager and an orchestrator of communication services. In addition, we describe how the communication service orchestrator will address all the possible multitenant-slice situations during the distribution of a network slice instance to multiple tenants. The novel methods described in the paper present a solution for not only network slice communication service distribution across different micro-operator’s tenants but also for future use cases, especially, when the allocated slice is responsible for multiple tenants or when a tenant requests multiple NSIs.


2021 ◽  
Author(s):  
Stephen S Mwanje ◽  
Anubhab Banerjee ◽  
Juergen Goerge ◽  
Abdelrahman Abdelkader ◽  
Gabor Hannak ◽  
...  

<div>Cognitive Autonomous Networks require the network to be able to derive and execute intelligent decisions, and thereby elevating the human operator's role to a higher level of abstraction where the operator can only specify the desired outcomes from the network. These abstract inputs, called intents, must be supported by corresponding intent-driven capabilities in the network or its management functions.</div><div>Although, Intent-Driven Management (IDM) has been published in multiple works, there is still no globally agreed end-to-end view of such IDM systems, let alone a globally agreed definition of intents. This paper provides a comprehensive discussion on the core aspects of IDM systems and combines them into an end-to-end system view with the related example solutions. Contrasting against a short review of related scientific and standards literature, the paper introduces a flexible, generic definition of intents and an End-to-End IDM System Architecture as well as the related modeling of intents to support their standardization. The paper also introduces implementation examples fitting the architecture and discusses advanced IDM features that need to be provided, including the ability to detect and resolve conflicts among intents.</div>


2021 ◽  
Author(s):  
Stephen S Mwanje ◽  
Anubhab Banerjee ◽  
Juergen Goerge ◽  
Abdelrahman Abdelkader ◽  
Gabor Hannak ◽  
...  

<div>Cognitive Autonomous Networks require the network to be able to derive and execute intelligent decisions, and thereby elevating the human operator's role to a higher level of abstraction where the operator can only specify the desired outcomes from the network. These abstract inputs, called intents, must be supported by corresponding intent-driven capabilities in the network or its management functions.</div><div>Although, Intent-Driven Management (IDM) has been published in multiple works, there is still no globally agreed end-to-end view of such IDM systems, let alone a globally agreed definition of intents. This paper provides a comprehensive discussion on the core aspects of IDM systems and combines them into an end-to-end system view with the related example solutions. Contrasting against a short review of related scientific and standards literature, the paper introduces a flexible, generic definition of intents and an End-to-End IDM System Architecture as well as the related modeling of intents to support their standardization. The paper also introduces implementation examples fitting the architecture and discusses advanced IDM features that need to be provided, including the ability to detect and resolve conflicts among intents.</div>


Sign in / Sign up

Export Citation Format

Share Document