Analysis of the increase and decrease algorithms for congestion avoidance in computer networks
Computer Networks and ISDN Systems
End-to-end routing behavior in the Internet
IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Statistical bandwidth sharing: a study of congestion at flow level
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
New directions in traffic measurement and accounting
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
Detecting shared congestion of flows via end-to-end measurement
IEEE/ACM Transactions on Networking (TON)
On the characteristics and origins of internet flow rates
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Properties and prediction of flow statistics from sampled packet streams
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Discrete-Time Analysis of Adaptive Rate Control Mechanisms
Proceedings of the IFIP TC6 Task Force/WG6.4 Fifth International Conference on Data Communication Systems and their Performance: High Speed Networks and Their Performance
The Case for Informed Transport Protocols
HOTOS '99 Proceedings of the The Seventh Workshop on Hot Topics in Operating Systems
Robust identification of shared losses using end-to-end unicast probes
ICNP '00 Proceedings of the 2000 International Conference on Network Protocols
The Structural Cause of File Size Distributions
MASCOTS '01 Proceedings of the Ninth International Symposium in Modeling, Analysis and Simulation of Computer and Telecommunication Systems
A wavelet-based approach to detect shared congestion
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Understanding Internet traffic streams: dragonflies and tortoises
IEEE Communications Magazine
Fundamental design issues for the future Internet
IEEE Journal on Selected Areas in Communications
Network loss inference with second order statistics of end-to-end flows
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
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Internet traffic primarily consists of packets from elastic flows, i.e., Web transfers, file transfers, and e-mail, whose transmissions are mediated via the Transmission Control Protocol (TCP). In this paper, we develop a methodology to process TCP flow measurements in order to analyze throughput correlations among TCP flow classes that can be used to infer congestion sharing in the Internet. The primary contributions of this paper are: 1) development of a technique for processing flow records suitable for inferring congested resource sharing; 2) evaluation of the use of factor analysis on processed flow records to explore which TCP flow classes might share congested resources; and 3) validation of our inference methodology using bootstrap methods and nonintrusive, flow level measurements collected at a single network site. Our proposal for using flow level measurements to infer congestion sharing differs significantly from previous research that has employed packet level measurements for making inferences. Possible applications of our method include network monitoring and root cause analysis of poor performance.