An analysis of internet content delivery systems
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
A Statistical Analysis of Network Parameters for the Self-management of Lambda-Connections
AIMS '09 Proceedings of the 3rd International Conference on Autonomous Infrastructure, Management and Security: Scalability of Networks and Services
Modeling and performance analysis of TCP over grid-OBS networks
IEEE Communications Letters
Self-management of hybrid networks: can we trust NetFlow data?
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
Optical Switching Impact on TCP Throughput Limited by TCP Buffers
IPOM '09 Proceedings of the 9th IEEE International Workshop on IP Operations and Management
Traffic growth analysis over three years in enterprise networks
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
Baseline traffic modeling for anomalous traffic detection on network transit points
APNOMS'09 Proceedings of the 12th Asia-Pacific network operations and management conference on Management enabling the future internet for changing business and new computing services
Pricing and unresponsive flows purging for global rate enhancement
Journal of Electrical and Computer Engineering
Unmasking the growing UDP traffic in a campus network
PAM'12 Proceedings of the 13th international conference on Passive and Active Measurement
An approach for failure recognition in IP-based industrial control networks and systems
International Journal of Network Management
STONE: a stream-based DDoS defense framework
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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The necessity of network traffic monitoring and analysis is growing dramatically with increasing network usage demands from individual users as well as business communities. Most network traffic monitoring and analysis systems are based on flows. One key asset with these systems is to compress a significant amount of packet data into flows. However, the compression ratio is highly variable in the recent network environments due to the increased use of peer-to-peer file sharing applications and the frequent appearances of abnormal traffic caused by Internet worms, which negatively influences the performance of traffic analysis systems. The performance of traffic monitoring and analysis systems highly depends on the number of flows as well as link utilization and the pattern of packet arrival. This paper examines the characteristics of recent Internet traffic from the perspective of flows. We found that the frequent occurrence of flash flows highly affects the performance of the existing flow-based traffic monitoring systems. Using various flow-related metrics, we analyzed the IP traffic traces collected from the Internet junction at POSTECH, a university with over 6000 end hosts and servers.