Title :
Internet statistical measurement - sampling through overbiasing
Author :
Xing, Song ; Meng, Xiannong ; Wang, Gang
Author_Institution :
Dept. of Inf. Syst., California State Univ., Los Angeles, CA, USA
Abstract :
In this paper, we propose an IP address-based approach to track the growth of the Web for making a reliable and accurate estimate of the IP address usage. Our method uses a proper sampling of the entire IP address space, resulting in a significant reduction of effort to obtain an accurate estimate. A thorough analysis of the proposed improved Importance Sampling approach is presented. Based on the measurement of the number of active Web servers over the past years, an exponential growth of the Web is observed and modeled.
Keywords :
IP networks; Internet; importance sampling; statistical analysis; IP address; Web servers; exponential growth; importance sampling approach; internet statistical measurement; overbiasing; Gallium nitride; IP networks; Internet; Q measurement; Rendering (computer graphics); Importance Sampling; Internet statistical measurement; growth of the Web;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579272
