Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
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
Experiences building PlanetLab
OSDI '06 Proceedings of the 7th symposium on Operating systems design and implementation
A stochastic model for the throughput of non-persistent TCP flows
Performance Evaluation
Internet traffic classification demystified: myths, caveats, and the best practices
CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference
Architecture of Multiagent Internet Measurement System MWING Release 2
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Online EM algorithm for mixture with application to internet traffic modeling
Computational Statistics & Data Analysis
Time series forecasting of web performance data monitored by MWING multiagent distributed system
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
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The performance prediction is a key part of the modern network traffic engineering. In this paper we present the application of nonlinear autoregressive modeling to the prediction of goodput level in web transactions. We propose the two-stage approach, with clustering step on historical data, prior to classification, to determine the most appropriate traffic intensity levels. Our study is based on the data collected by the MWING system, an ensemble of web performance measurement agents, and cover over a year of continuous observations of a group of HTTP servers.