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Title |
Providing QoS Mapping Rule using Data mining techniques |
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Author |
Laila Fetjah, Abderrahim Sekkaki |
| Citation |
Vol. 7 No. 12 pp. 201-206 |
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Abstract |
Video on demand (VoD) has been evolved during the last decades. This application insures manipulation of a huge data requiring in this fact QoS support. One of the most challenges in QoS management is the heterogeneity of quality information coming from different layers of a distributed system such as user, service, system or resource layer. This leads us to provide QoS mapping between layers. Many QoS architectures used a static QoS mapping based generally on defined tables that enable some transformations between layers. In this paper, we will define a dynamic method that enable QoS mapping between user requirements and system's offer. Typically, we will present a new way based on data mining techniques in order to extract actual system’s offer and classify user requirements enabling in this way creating personalized QoS mapping rule according to both user requirement and system's offer. |
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Keywords |
VoD, QoS mapping, QoS monitoring, Data mining |
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