Ontology methodology based context awareness using system entity structure for network analysis

Authors:
Taekyu Kim;Young-Shin Han;Tae-Young Kim;Jong-Sik Lee
Affiliations:
Arizona Center for Integrative Modeling and Simulation, Electrical and Computer Engineering Department, The University of Arizona, Tucson, AZ;School of Engineering Inha University, Incheon, Korea;School of Engineering Inha University, Incheon, Korea;School of Engineering Inha University, Incheon, Korea
Venue:
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Year:
2008

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Abstract

Currently network uses, especially the number of internet users, increase rapidly. Also, high quality of service is required and this requirement results a sudden network traffic increment. As a result, an efficient management system for huge network traffic becomes an important issue. Ontology/data engineering based context awareness using the System Entity Structure (SES) concepts enables network administrators to access traffic data easily and efficiently. The network traffic analysis system, which is studied in this paper, is an effective management system with a high throughput and a low response time designed and implemented based on a model and simulation based data engineering methodology. Extensible Markup Language (XML) is used for metadata language in this system. The information which is extracted from the network traffic analysis system could be modeled and simulated in Discrete Event Simulation (DEVS) methodology for further works such as post simulation evaluation, web services, and etc.