Title :
Measuring the size of the Internet via importance sampling
Author :
Xing, Song ; Paris, Bernd-Peter
Author_Institution :
Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA, USA
Abstract :
Measuring the size of the Internet via Monte Carlo sampling requires probing a large portion of the Internet protocol (IP) address space to obtain an accurate estimate. However, the distribution of information servers on the Internet is highly nonuniform over the IP address space. This allows us to design probing strategies based on importance sampling for measuring the prevalence of an information service on the Internet that are significantly more effective than strategies relying on Monte Carlo sampling. We present thorough analysis of our strategies together with accurate estimates for the current size of the Internet Protocol Version 4 (IPv4) Internet as measured by the number of publicly accessible web servers and FTP servers.
Keywords :
Internet; importance sampling; network servers; performance evaluation; transport protocols; FTP servers; IP address space; IPv4; Internet; Internet Protocol Version 4; Internet protocol; Internet size measurement; Monte Carlo sampling; importance sampling; information servers distribution; information service; probing strategies design; Current measurement; Extraterrestrial measurements; IP networks; Monte Carlo methods; Network servers; Protocols; Sampling methods; Size measurement; Web and internet services; Web server;
Journal_Title :
Selected Areas in Communications, IEEE Journal on
DOI :
10.1109/JSAC.2003.814510