DocumentCode
2221557
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
Volume
2
fYear
2010
fDate
20-22 Aug. 2010
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5579272
Filename
5579272
Link To Document