A machine learning approach to TCP throughput prediction

This publication has 24 references indexed in Scilit:

• SVM learning of IP address structure for latency prediction
  Published by Association for Computing Machinery (ACM) ,2006
• Improving accuracy in end-to-end packet loss measurement
  Published by Association for Computing Machinery (ACM) ,2005
• On the predictability of large transfer TCP throughput
  Published by Association for Computing Machinery (ACM) ,2005
• Comparison of Public End-to-End Bandwidth Estimation Tools on High-Speed Links
  Published by Springer Nature ,2005
• A tutorial on support vector regression
  Statistics and Computing, 2004
• End-to-end available bandwidth: Measurement methodology, dynamics, and relation with TCP throughput
  IEEE/ACM Transactions on Networking, 2003
• Resilient overlay networks
  Published by Association for Computing Machinery (ACM) ,2001
• Critical path analysis of TCP transactions
  Published by Association for Computing Machinery (ACM) ,2000
• The macroscopic behavior of the TCP congestion avoidance algorithm
  ACM SIGCOMM Computer Communication Review, 1997
• State transition analysis: a rule-based intrusion detection approach
  IEEE Transactions on Software Engineering, 1995