Modeling TCP Reno performance: a simple model and its empirical validation
IEEE/ACM Transactions on Networking (TON)
A measurement study of available bandwidth estimation tools
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Characterizing and Predicting TCP Throughput on the Wide Area Network
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
On the predictability of large transfer TCP throughput
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Reno Friendly TCP Westwood based on Router Buffer Estimation
ICAS-ICNS '05 Proceedings of the Joint International Conference on Autonomic and Autonomous Systems and International Conference on Networking and Services
A machine learning approach to TCP throughput prediction
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
An analytic throughput model for TCP NewReno
IEEE/ACM Transactions on Networking (TON)
Proceedings of the 48th Design Automation Conference
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In the research area of TCP throughput prediction, the well-known throughput model, a function of loss rate, has some disadvantages such as difficulty of loss rate estimation and low accuracy under congestion. This letter proposes a new throughput model by a function of available bandwidth. Our model improves the accuracy in TCP throughput prediction by removing loss rate, which is usually hard to measure accurately, in the throughput function. Our formula-based predictor is validated by real experiments on LAN environments.