@inproceedings{06f023755e8e43b4956cae7335799857,
title = "Predicting peer offline probability in BitTorrent using nonlinear regression",
abstract = "BitTorrent is a popular and scalable P2P content distribution tool. This study attempts to analyze the factors that affect the offline probability of BitTorrent peer, and express the probability using these factors. We first collect large data set of BitTorrent peers' activities. Then we use nonlinear least-squares regression to determine the probability distribution function for each of the three factors (download percent, download speed, and local time) and the joint probability distribution function of the three factors, and use another large data set to verify the prediction results.",
keywords = "Bittorrent, Offline, Probability distribution, Regression",
author = "Dongdong Nie and Qinyong Ma and Lizhuang Ma and Wuzheng Tan",
year = "2007",
doi = "10.1007/978-3-540-74873-1\_40",
language = "英语",
isbn = "3540748725",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "339--344",
editor = "Lizhuang Ma and Matthias Rauterberg and Ryohei Nakatsu",
booktitle = "Entertainment Computing - ICEC 2007 - 6th International Conference, Proceedings",
address = "德国",
note = "6th International Conference of Entertainment Computing, ICEC 2007 ; Conference date: 15-09-2007 Through 17-09-2007",
}