Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/14732
Título: | A Semantic Model for Enhancing Network Services Management and Auditing |
Autor(es): | Rodrigues, Carlos Carvalho, Paulo Álvarez-Sabucedo, Luis M. Lima, Solange |
Palavras-chave: | Semantic Modelling Ontology Multiservice Networks Network Service Management SLA/SLS Semantics Multiservice IP Networks |
Data: | 2011 |
Editora: | Springer |
Revista: | Lecture Notes in Computer Science |
Resumo(s): | The road toward ubiquity, heterogeneity and virtualization of network services and resources urges for a formal and systematic approach to network management tasks. In particular, the semantic characterization and modeling of services provided to users assume an essential role in fostering autonomic service management, service negotiation and auditing. This paper is centered on the definition of an ontology for multiservice IP networks which intends to address multiple service management goals, namely: (i) to foster client and service provider interoperability; (ii) to manage network service contracts, facilitating the dynamic negotiation between clients and ISPs; (iii) to access and query SLA/SLSs data on an individual or aggregated basis to assist service provisioning in the network; and (iv) to sustain service monitoring and auditing. In order to take full advantage of the proposed semantic model, a service model API is provided to allow service management platforms to access the ontological contents. This ontological development also takes advantage of SWRL to discover new knowledge, enriching the possibilities of systems described using this support. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/14732 |
ISBN: | 978-3-642-22874-2 |
DOI: | 10.1007/978-3-642-22875-9_51 |
ISSN: | 0302-9743 |
Versão da editora: | http://dx.doi.org/10.1007/978-3-642-22875-9 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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new2an-long-article.pdf | new2an-long-article.pdf (paper) | 483,88 kB | Adobe PDF | Ver/Abrir |