Random Subsets of the Interval and P2P Protocols

  • Authors:
  • Jacek Cichoń;Marek Klonowski;Łukasz Krzywiecki;Bartłomiej Różański;Paweł Zieliński

  • Affiliations:
  • Institute of Mathematics and Computer Science, Wrocław University of Technology, Poland;Institute of Mathematics and Computer Science, Wrocław University of Technology, Poland;Institute of Mathematics and Computer Science, Wrocław University of Technology, Poland;Institute of Mathematics and Computer Science, Wrocław University of Technology, Poland;Institute of Mathematics and Computer Science, Wrocław University of Technology, Poland

  • Venue:
  • APPROX '07/RANDOM '07 Proceedings of the 10th International Workshop on Approximation and the 11th International Workshop on Randomization, and Combinatorial Optimization. Algorithms and Techniques
  • Year:
  • 2007

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Abstract

In this paper we compare two methods for generating finite families of random subsets according to some sequence of independent random variables 茂戮驴1, ..., 茂戮驴ndistributed uniformly over the interval [0,1]. The first method called uniform splituses 茂戮驴ivalues straightforwardly to determine points of division of [0,1] into subintervals. The second method called binary splituses 茂戮驴ionly to perform subsequent divisions of already existing subintervals into exact halves. We show that the variance of lengthes of obtained intervals in the first method is approximately $\frac{1}{n^2}$ and that the variance of lengthes of obtained intervals in the second method is approximately $\frac{1}{n^2}(\frac{1}{\ln 2}-1)$.The uniform split is used in the Chord peer-to-peer protocol while the binary split is used in the CAN protocol. Therefore our analysis applies to this protocols and shows that CAN has a better probabilistic properties than Chord. We propose also a simple modification of the Chord protocol which improves its statistical properties.