Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/71610
Título: | Towards a holistic semantic support for context-aware network monitoring: An ontology-based approach |
Autor(es): | Carvalho, Paulo Lima, Solange Sabucedo, Luis Alvarez Santos-Gago, Juan M. Silva, João Marco Cardoso |
Palavras-chave: | Recommendation systems Expert systems Ontology Semantic rules Network monitoring Traffic sampling |
Data: | 2020 |
Editora: | Springer |
Revista: | Computing |
Citação: | Carvalho, P., Lima, S. R., Sabucedo, L. Á., Santos-Gago, J. M., & Silva, J. M. C. (2020). Towards a holistic semantic support for context-aware network monitoring. Computing, 102(12), 2565-2585. DOI: 10.1007/s00607-020-00840-7 |
Resumo(s): | Monitoring current communication networks and services is an increasingly complex task as a result of a growth in the number and variety of components involved. Moreover, different perspectives on network monitoring and optimisation policies must be considered to meet context-dependent monitoring requirements. To face these demanding expectations, this article proposes a semantic-based approach to support the flexible configuration of context-aware network monitoring, where traffic sampling is used to improve efficiency. Thus, a semantic layer is proposed to provide with a standard and interoperable description of the elements, requirements and relevant features in the monitoring domain. On top of this description, semantic rules are applied to make decisions regarding monitoring and auditing policies in a proactive and context-aware manner. Use cases focusing on traffic accounting and traffic classification as monitoring tasks are also provided, demonstrating the expressiveness of the ontology and the contribution of smart SWRL rules for recommending optimised configuration profiles. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/71610 |
DOI: | 10.1007/s00607-020-00840-7 |
ISSN: | 0010-485X |
e-ISSN: | 1436-5057 |
Versão da editora: | https://link.springer.com/article/10.1007/s00607-020-00840-7 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Computing_2020___CR_.pdf Acesso restrito! | 1,45 MB | Adobe PDF | Ver/Abrir |