Traffic behavior analysis and modeling of sub-networks
International Journal of Network Management
Beyond the Web: Mobile WAP-Based Management
Journal of Network and Systems Management
TStat: TCP STatistic and Analysis Tool
QoS-IP 2003 Proceedings of the Second International Workshop on Quality of Service in Multiservice IP Networks
Categorizing Computing Assets According to Communication Patterns
Advanced Lectures on Networking, NETWORKING 2002 [This book presents the revised version of seven tutorials given at the NETWORKING 2002 Conference in Pisa, Italy in May 2002]
IP Traffic Monitoring: An Overview and Future Considerations
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Categorizing computing assets according to communication patterns
Advanced lectures on networking
Measuring IP and TCP behavior on edge nodes with Tstat
Computer Networks: The International Journal of Computer and Telecommunications Networking
Report on the 1st International Summer School on Network and Service Management
Journal of Network and Systems Management
Topnet: a network-aware top(1)
LISA'08 Proceedings of the 22nd conference on Large installation system administration conference
Measuring IP and TCP behavior on edge nodes with Tstat
Computer Networks: The International Journal of Computer and Telecommunications Networking
LISA'10 Proceedings of the 24th international conference on Large installation system administration
NetSlices: scalable multi-core packet processing in user-space
Proceedings of the eighth ACM/IEEE symposium on Architectures for networking and communications systems
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Traffic measurements are becoming increasingly complex due to the variety of traffic types and the integration of different network media. Although traditional tools such as sniffers and network probes are still useful for traffic measurement, they often limit their scope to network packet analysis and visualization. This means that human operators need to manually perform specific actions when some anomalous traffic conditions happen since they have very limited, if any, support from the above tools. This article covers the design and implementation of ntop, an open-source Web-based traffic measurement and monitoring application. It enables users to track relevant network activities including traffic characterization, network utilization, network protocol usage, and congestion detection. Ntop's extensibility through dynamically loadable software components opens it to extensions by network administrators. In addition, its native security flaw detection facilities allow ntop to detect potentially dangerous traffic conditions, and hence to dynamically and autonomously adapt network configuration to tackle the identified problems