MonONTO: A Domain Ontology for Network Monitoring and Recommendation for Advanced Internet Applications Users

Moraes, Priscilla; Sampaio, Leobino N.; Monteiro, José Augusto Suruagy; Г, Портной М

doi:10.1109/nomsw.2007.21

Cited by 25 publications

(8 citation statements)

References 10 publications

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“…Considering network management activities, related research is exploring ontological representation as a mechanism for supporting autonomic networks, in particular, for automated configuration [14,15]. More specific works which require traffic measurements are mainly focused on QoS monitoring [16,17] and network security [18,19].…”

Section: Related Workmentioning

confidence: 99%

An Ontology-Based Recommendation System for Context-Aware Network Monitoring

Silva

Carvalho

Lima

et al. 2019

Advances in Intelligent Systems and Computing

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Current network management systems urge for a context-aware perspective of the provided network services and the underlying infrastructure usage. This need results from the heterogeneity of services and technologies in place, and from the massive traffic volumes traversing today's networks. To reduce complexity and improve interoperability, monitoring systems need to be flexible, context-aware, and able to self-configure measurement points (MPs) according to network monitoring tasks requirements. In addition, the use of sampling techniques in MPs to reduce the amount of traffic collected, analysed and stored has become mandatory and, currently, distinct sampling schemes are available for use in operational environments. In this context, the main objective of this paper is the ontological definition of measurement requirements and components in sampling-based monitoring environments, with the aim of supporting an expert recommendation system able to understand context and identify the appropriate configuration rules to apply to a selection of MPs. In this way, the ontology, defining management needs, network measurement topology and sampling techniques, is described and explored considering several network management activities. A use case focusing on traffic accounting as monitoring task is also provided, demonstrating the expressiveness of the ontology and the role of the recommendation system in assisting context-aware network monitoring based on traffic sampling.

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Section: Related Workmentioning

confidence: 99%

An Ontology-Based Recommendation System for Context-Aware Network Monitoring

Silva

Carvalho

Lima

et al. 2019

Advances in Intelligent Systems and Computing

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“…Techniques (Moraes et al 2008) designed an ontology named MonONTO for proposing recommendation for the advanced internet applications users. They have considered information concerning the application type, traffic generated and user profile along with network performance metrics.…”

Section: Ontology Based Qos Analysismentioning

confidence: 99%

Performance Monitoring Framework for Service Oriented System Lifecycle

Masood

Cherifi

Moalla

2016

Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development

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Service oriented systems are highly dynamic systems composed of several web services. One of the most important challenges in service oriented systems is to deliver acceptable quality of service. For this purpose, it is required to monitor quality of service along different activities of service oriented system. Existing research focuses on specific activities but do not take into account all the activities of service oriented system together at the infrastructure level. In this paper, we present performance monitoring framework to provide support for the whole service oriented system lifecycle. Our framework integrates several ontologies to monitor the performance of service oriented systems in order to ensure their sustainability. We design a base Service Monitoring Ontology that captures all the information about the service domain. Along with that we design ontologies for technical indicators at service level, binding level, composition level and server level. We conduct a performance evaluation over real web services using suitable estimators for response time, delay, loss and more.

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“…Implementations of web services have not been done by them. Additionally, it does not deal with quality of service mapping [13]. Benaboud et al proposed Semantic Web Service Discovery Based on Agents and Ontologies considering the fuzzy constraints.…”

Section: Ontology Based Qos Monitoring Techniquesmentioning

confidence: 99%

Performance Oriented Decision Making to Guide Web Service Lifecycle

Masood

Cherifi

Moalla

et al. 2016

Enterprise Interoperability VII

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Service composition networks are becoming increasingly important and more critical for the enterprise collaborations. The sustainability of service based systems is driven with the support of performance metrics analysis for decision making. Some of the existing works only focused performance at messaging level. Ontology based performance monitoring techniques did not provide the recommendation model for better quality of service. In this paper we propose a semantic service recommendation framework (SSRF) based on Service Networks Monitoring (SNM) concepts. This framework includes creation of Service Network Monitoring Ontology (SNMOnt), extracting traces of technical indicators for services and storing decision data in the existing database. The decision support covers the unavailability of service and recommendation of services based on technical indicators. Our framework is meant to support the creation of shared domain knowledge ensuring an optimal decision making system for web service lifecycle.

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MonONTO: A Domain Ontology for Network Monitoring and Recommendation for Advanced Internet Applications Users

Cited by 25 publications

References 10 publications

An Ontology-Based Recommendation System for Context-Aware Network Monitoring

An Ontology-Based Recommendation System for Context-Aware Network Monitoring

Performance Monitoring Framework for Service Oriented System Lifecycle

Performance Oriented Decision Making to Guide Web Service Lifecycle

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