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Self-* and P2P for Network Management Design Principles and Case Studies /

The network management community has been pushed towards the design of alternative management approaches able to support heterogeneity, scalability, reliability, and minor human intervention. The employment of self-* properties and Peer-To-Peer (P2P) are seen as promising alternatives, able to provi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Marquezan, Clarissa Cassales (Autor), Granville, Lisandro Zambenedetti (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:SpringerBriefs in Computer Science,
Temas:
Acceso en línea:Texto Completo

MARC

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300 |a XIII, 105 p. 22 illus.  |b online resource. 
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505 0 |a Foreword -- Preface -- Introduction -- State of the Art -- Principles of the Self-* P2P Design -- Case Study I: Reliability of Monitoring Platforms -- Case Study II: Resource Management of Network Virtualization -- Results Discussion -- Conclusions. 
520 |a The network management community has been pushed towards the design of alternative management approaches able to support heterogeneity, scalability, reliability, and minor human intervention. The employment of self-* properties and Peer-To-Peer (P2P) are seen as promising alternatives, able to provide the sophisticated solutions required. Despite being developed in parallel, and with minor direct connections perceived between them, self-* properties and P2P can be used concurrently. In Self-* and P2P for Network Management: Design Principles and Case Studies, the authors explore the issues behind the joint use of self-* properties and P2P, and present: a survey relating autonomic computing and self-* properties, P2P, and network and service management; the design of solutions that explore parallel and cooperative behavior of management peers; the change in angle of network management solution development from APIs, protocols, architectures, and frameworks to the design of management algorithms. 
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