Novel Traffic Measurement Methodology for High Precision Applications Awareness in Multi-gigabit Networks

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• 作者：Taesang Choi ; Sangsik Yoon ; Dongwon Kang ; Sangwan Kim ; Joonkyung Lee ; et al.
• 关键词：hardware ; based flow record generation ; traffic measurement
• 刊名：Lecture Notes in Computer Science
• 出版年：2006
• 出版时间：2006
• 年：2006
• 卷：4238
• 期：1
• 页码：63-72
• 全文大小：197 KB
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Traffic measurement research has focused on various aspects ranging from simple packet-based monitoring to sophisticated flow-based measurement and analysis. Especially, most recent research has tried to address limitations of simple flow-based monitoring by utilizing payload inspection for applications signatures or by identifying target application group based on common traffic characteristics. However, due to highly dynamic nature of the development and the use of the Internet applications, individual simple remedy such as application signature inspection, dynamic port identification, or traffic characterization can’t be sufficient to achieve high precision application-aware monitoring. This is true especially in multi-gigabit high-speed network environment. As the Internet has been evolving from free networks to high-quality business oriented ones, more sophisticated high precision application-aware traffic measurement is required which takes all the factors mentioned above into account. In this paper, we propose our novel traffic measurement methodology to meet such requirements. We considered scalability, cost-efficiency, and performance.