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Accurate performance metric models are the key to Web capacity planning related problems. Due to the complexity of Web systems, analytical modeling without integrating the performance testing process is not enough to get accurate metric models. To integrate performance testing and analytical modeling in a systematic way, a Web performance modeling process is presented based on the methodology of learning...
TCP remains the protocol of choice for bulk data transfers over the Internet. A range of mathematical approaches were proposed to evaluate the performance of TCP, approaches validated through synthetic or endpoint controlled traffic, typically unsuitable for short-lived transfers or clients with unknown behaviour. This paper aims to overcome these problems by using a supervised adaptive learning approach...
Traffic prediction constitutes a new hot research topic of network metrology. Thus, tuning the prediction model parameters is very crucial to achieve accurate prediction. This work focuses on the design, the empirical evaluation and the analysis of the behavior of training-based models for predicting the throughput of a single link i.e. the incoming input data in Megabit per time interval called granularity...
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