• 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