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Assuring end-to-end service in a multi-provider environment requires appropriate methods and metrics for realizing service degradations and localizing their causes. This work aims to point out the issues of assuring service quality for networked applications by proposing a service assurance architecture, measurement methods, and advanced metrics. The proposed framework fits into the prevalent code of practice, in which the network operators and service providers manage their own territory. The advances lay in the integration of active and passive fault management methods; the enhancement of…mehr

Produktbeschreibung
Assuring end-to-end service in a multi-provider environment requires appropriate methods and metrics for realizing service degradations and localizing their causes. This work aims to point out the issues of assuring service quality for networked applications by proposing a service assurance architecture, measurement methods, and advanced metrics. The proposed framework fits into the prevalent code of practice, in which the network operators and service providers manage their own territory. The advances lay in the integration of active and passive fault management methods; the enhancement of the usual QoS measures; and the idea of correlating the service quality perceived by the user with the analysis results of core network measurements. The advances of this dissertation lay in the integration of active and passive fault management methods; the enhancement of the traditional Quality of Service measures; and the idea of correlating the service quality perceived by the user with the analysis results of core network measurements. Furthermore, the new measurement and analysis methods and metrics are integrated into the concept of knowledge plane, monitoring plane and action plane.
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Autorenporträt
Pal Varga is Associate Professor at Budapest University of Technology and Economics (BME) Hungary. His main research interest include communication systems, network performance measurements, root cause analysis, fault localization, traffic classification, end-to-end QoS and SLA issues, as well as hardware acceleration, and Internet of Things.