DocumentCode :
3318202
Title :
Size estimation based on multiple capture-recapture method a comparsion study
Author :
Cao, Jia ; Zheng, Hongxiao
Author_Institution :
Inst. of Inf., Beijing Forestry Univ., Beijing, China
fYear :
2009
fDate :
8-11 Aug. 2009
Firstpage :
486
Lastpage :
489
Abstract :
Size estimation is widely used in computer network. In this article, considering scalability and cost, we compare the various size estimation methods which are based on multiple samples and can be used in the homogeneous environment, such as P2P environments. First, according to the different theory foundations, these methods are classified into three kinds: sample-collision method, binomial distribution method and Schnabel methods. Theory analysis and experiment results show that when the total sample size is invariable, it is better to use ldquobig samplerdquo for binomial distribution based method. Finally, through experiments, we find that the sample-collision method has lower cost and better estimation veracity and the Schnabel method takes the second place.
Keywords :
binomial distribution; estimation theory; peer-to-peer computing; sampling methods; P2P network; Schnabel method; binomial distribution; computer network; multiple capture-recapture method; sample-collision method; size estimation method; Algorithm design and analysis; Computer networks; Costs; Forestry; IPTV; Probability; Routing; Sampling methods; Scalability; Statistics; Capture-Recapture method; P2P; Schnabel model; Size estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
Type :
conf
DOI :
10.1109/ICCSIT.2009.5234901
Filename :
5234901
Link To Document :
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