Title :
A QoS Mapping Rule Builder
Author :
Nguyen, K.K. ; Kerherve, B. ; Jaumard, B.
Author_Institution :
Concordia Univ., Montreal, Que.
Abstract :
Although many QoS management architectures have been recently introduced with a lot of advanced features, they have never been widely used in the existing applications due to the lack of interoperation between providers and users, or between network operators. One of the main issues is the heterogeneity of QoS information coming from d sources: clients, communication networks, servers, data . etc. In the context of quality-driven delivery (QDD) referring to the ability of a system to deliver data objects while considering the end-users expectations, all components of a distributed multimedia system have to contribute to satisfy users requirements. The mapping activity is therefore essential for dealing with the variety of QoS information of these components. In this paper, we propose an approach aimed at creating QoS mapping rules using statistical data analysis and data mining techniques combined with monitoring tools. The automatic generation of QoS mapping rules allows adapting the QoS management architectures to different environments as well as d classes of users
Keywords :
data mining; multimedia communication; pattern classification; quality of service; statistical analysis; telecommunication network management; QoS management architectures; QoS mapping rule builder; data mining techniques; distributed multimedia system; end-users expectations; quality delivery; statistical data analysis; Communication networks; DVD; Data mining; Databases; Environmental management; IEEE members; Monitoring; Network servers; Quality of service; Streaming media; QoS information; QoS mapping; Quality of Service (QoS); Quality-Driven Delivery (QDD);
Conference_Titel :
Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on
Conference_Location :
Ottawa, Ont.
Print_ISBN :
1-4244-0038-4
Electronic_ISBN :
1-4244-0038-4
DOI :
10.1109/CCECE.2006.277688