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The applicability of static sampling techniques for measuring the application reliability of the communication networks in the simulation environment

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Simulation and sampling are both important and widely used techniques in the research of networks. Scholars have already developed a variety of packet sampling techniques. However, few of these are focused on network reliability, especially in the simulation situation. In this paper, the necessity of using packet sampling techniques when evaluating network reliability in the simulation environment is proved. Several experiments are designed to discuss the applicability of different statistic sampling techniques, including simple random sampling, periodic sampling and equidistant sampling. Orthogonal experimental design is used to reduce the experiment time. The experimental result proves that the simple random sampling is the best of the three. The larger the sampling probability is, the better the applicability of the simple random sampling is. When the sampling probability increases to a threshold, the applicability becomes stable.

Original languageEnglish
Title of host publicationQR2MSE 2013 - Proceedings of 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering
Pages189-193
Number of pages5
DOIs
StatePublished - 2013
Event2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2013 - Sichuan, China
Duration: 15 Jul 201318 Jul 2013

Publication series

NameQR2MSE 2013 - Proceedings of 2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering

Conference

Conference2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2013
Country/TerritoryChina
CitySichuan
Period15/07/1318/07/13

Keywords

  • application reliability
  • communication networks
  • orthogonal experimental design
  • sampling
  • simulation

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