Bro: a system for detecting network intruders in real-time
Computer Networks: The International Journal of Computer and Telecommunications Networking
Improving web performance by client characterization driven server adaptation
Proceedings of the 11th international conference on World Wide Web
Design, implementation, and evaluation of a client characterization driven web server
WWW '03 Proceedings of the 12th international conference on World Wide Web
User Mobility for Opportunistic Ad-Hoc Networking
WMCSA '04 Proceedings of the Sixth IEEE Workshop on Mobile Computing Systems and Applications
On the predictability of large transfer TCP throughput
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Web servers under overload: How scheduling can help
ACM Transactions on Internet Technology (TOIT)
Monkey see, monkey do: a tool for TCP tracing and replaying
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
Nettimer: a tool for measuring bottleneck link, bandwidth
USITS'01 Proceedings of the 3rd conference on USENIX Symposium on Internet Technologies and Systems - Volume 3
SVM learning of IP address structure for latency prediction
Proceedings of the 2006 SIGCOMM workshop on Mining network data
SC2D: an alternative to trace anonymization
Proceedings of the 2006 SIGCOMM workshop on Mining network data
Monarch: a tool to emulate transport protocol flowsover the internet at large
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
binpac: a yacc for writing application protocol parsers
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
A machine learning approach to TCP throughput prediction
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
On the predictability of large transfer TCP throughput
Computer Networks: The International Journal of Computer and Telecommunications Networking
Answering what-if deployment and configuration questions with wise
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Revisiting the Performance of Short TCP Transfers
NETWORKING '09 Proceedings of the 8th International IFIP-TC 6 Networking Conference
A machine learning approach to TCP throughput prediction
IEEE/ACM Transactions on Networking (TON)
Web workload generation challenges - an empirical investigation
Software—Practice & Experience
Answering: techniques and deployment experience
IEEE/ACM Transactions on Networking (TON)
Proceedings of the 2013 conference on Internet measurement conference
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In some contexts it may be useful to predict the latency for short TCP transfers. For example, a Web server could automatically tailor its content depending on the network path to each client, or an "opportunistic networking" application could improve its scheduling of data transfers. Several techniques have been proposed to predict the latency of short TCP transfers based on online measurements of characteristics of the current TCP connection, or of recent connections from the same client. We analyze the predictive abilities of these techniques using traces from a variety of Web servers, and show that they can achieve useful accuracy in many, but not all, cases. We also show that a previously-described model for predicting short-transfer TCP latency can be improved with a simple modification. Ours is the first trace-based analysis that evaluates these prediction techniques across diverse user communities.