PBMAN: A Policy-Based Management Framework for Ambient Networks

2006 ◽  
Author(s):  
C. Kamienski ◽  
J. Fidalgo ◽  
D. Sadok ◽  
J. Lima ◽  
L. Pereira
Keyword(s):  
Management Framework ◽  
Ambient Networks ◽  
Policy Based Management

Policy-Based Management Framework for the Simplified Use of Policy Abstractions (SUPA)

2018 ◽  
Author(s):  
W. Liu ◽  
C. Xie ◽  
J. Strassner ◽  
G. Karagiannis ◽  
M. Klyus ◽  
...  
Keyword(s):  
Management Framework ◽  
Policy Based Management

Automating Network Management With Artificial Intelligence

2018 ◽  
pp. 113-145
Author(s):  
Imen Grida Ben Yahia ◽  
Jaafar Bendriss ◽  
Teodora Sandra Buda ◽  
Haytham Assem
Keyword(s):  
Artificial Intelligence ◽  
Network Management ◽  
Mobile Networks ◽  
Service Providers ◽  
Service Level Agreement ◽  
Service Level ◽  
Management Framework ◽  
Policy Based Management ◽  
Detailed Specification ◽  
Fast Adaptation

Artificial intelligence (AI) and in particular machine learning are seen as cornerstones to automate and rethink network management operations in the context of network softwarization (i.e., SDN, NFV, and Cloud). In this regard, operators and service providers target the creation of service offerings, the customization of network solutions, and the fast adaptation to rapidly changing market demands. This translates into requirements for increased flexibility, modularity, and scalability in network management operations. This chapter presents a detailed specification of a cognitive (AI-based) network management framework applicable for existing and future (software-defined) networks. The framework is built upon the combined state-of-the-art on autonomic, policy-based management and big data. It is exemplified with two detailed use cases: the urban mobility awareness for today's mobile networks and SLA (service level agreement) enforcement in the context of NFV and cloud.

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