Research and application of an online real time hurst parameter measure algorithm

  • Authors:
  • Xiaoming Bai;Daohuan Liu;Taorong Qiu

  • Affiliations:
  • Dept. of Computer Science, Nanchang University, Nanchang, China;Dept. of Computer Science, Nanchang University, Nanchang, China;Dept. of Computer Science, Nanchang University, Nanchang, China

  • Venue:
  • IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
  • Year:
  • 2009

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Abstract

Several methods used for measure network traffic are introduced in this paper. Hurst parameter and Characteristic of R/S algorithm are analyzed in details. An online real-time Hurst parameter measure algorithm based on R/S algorithm is proposed,and algorithm steps are demonstrated by using emulation experiment. The experiment result shows that the online real -time Hurst parameter detection algorithm can compute accurately Hurst parameter of network traffic.The network traffic measure system can dynamically adjust the sampling interval with the change of the Hurst Parameter. So, the proposed algorithm provides a basis for traffic data storing and handling.