Title :
Peer-To-Peer Traffic Detection Based on Periodic Sampling
Author :
Yu, FuXing ; Suo, YiNa ; Song, DingLi
Author_Institution :
Dept. Comput. & Autom., Hebei United Univ., Tang Shan, China
Abstract :
This paper not only analyzes the principle of the periodic sampling,but also put forth a comprehensive visualization intuitive analysis method on Peer-to-Peer traffic detection with lower cost and higher performance.The method is based on detecting the in-degree and out-degree of the node,and it also combines periodic sampling with geo-information system. Finally the traffic characteristic of every node is displayed on the map in a visual way.
Keywords :
data visualisation; geographic information systems; peer-to-peer computing; sampling methods; telecommunication traffic; geo-information system; in-degree P2P detection; out-degree P2P detection; peer-to-peer traffic detection; periodic sampling; visualization intuitive analysis method; Accuracy; Databases; Electronic mail; IP networks; Peer to peer computing; Quaternions; Visualization;
Conference_Titel :
Database Technology and Applications (DBTA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6975-8
Electronic_ISBN :
978-1-4244-6977-2
DOI :
10.1109/DBTA.2010.5659095
