Towards a holistic semantic support for context-aware network monitoring
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Towards a holistic semantic support for context-aware network monitoring An ontology-based approach Paulo Carvalho1 · Solange Rito Lima1 · Luis Álvarez Sabucedo2 Juan M. Santos-Gago2 · João Marco C. Silva3
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Received: 26 April 2020 / Accepted: 11 August 2020 © Springer-Verlag GmbH Austria, part of Springer Nature 2020
Abstract 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. Keywords Recommendation systems · Expert systems · Ontology · Semantic rules · Network monitoring · Traffic sampling Mathematics Subject Classification 68M10 · 68M11 · 68M12 · 68Q55
1 Introduction Managing communication networks is a demanding multidimensional task requiring an increasingly number of support tools and expertise. This inherent difficulty stems
This paper is an extended version of a previous work of the authors presented at WorldCist 2019.
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Paulo Carvalho [email protected]
Extended author information available on the last page of the article
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from reasons such as the crescent heterogeneity in the type and capacity of network components, the plethora of services offered, and the different points of view regarding network planning, management and optimisation. Therefore, the search for more encompassing and versatile solutions to tackle the aforementioned issues is clearly recommended. Network monitoring, as a fundamental task for assisting multiple network management areas (e.g., traffic accounting and classification, quality of service and security), should attend to each particular context where monitoring data and corresponding traffic measurements are required. In fact, a monitoring system can use relevant context information to provide customised and optimised monitoring facilities to meet both customers and network administrators needs. Furthermore, context-aware monitoring may contribute for saving computational and communication resources, while allowing for the provision of more agile services. Therefore, the adoption of semantic-based approaches plays a k
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