Advanced data mining system for inter-domain QoS and traffic analysis based on integrated measurement, modeling and simulation

摘要

Advanced data mining architecture for inter-domain QoS and traffic analysis developed in the framework of European Intermon project is discussed [Int-IST]. The architecture is based on distributed measurement, modeling and simulation components using common data base and user interface to integrate inter-domain topology, performance, border router traffic, end-to-end QoS and event data. Using Intermon architecture, different kind of models could be inferred to the corresponding measurement scenarios and used for integration in simulation environment. The paper addresses the formal framework and components of the Intermon data mining architecture as well as relationships of different kind of measurement and modeling data. Inter-domain data mining with Intermon could be used for different business scenarios. This paper is discussing possible scenarios in the framework of: - application QoS and SLA validation to study end-to-end QoS and events of application classes considering inter-domain performance models - border router traffic modeling in order to support ISP capacity planning and enhanced application QoS provision in inter-domain environment. The paper also compare the Intermon inter-domain data milling usage for the described scenarios with current existing systems in the area of QoS and SLA validation as well as inter-domain traffic engineering and inter-domain ISP capacity planning.