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Author:

Xu, Xin (Xu, Xin.) | He, Jingsha (He, Jingsha.) (Scholars:何泾沙) | Shi, Henghua (Shi, Henghua.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

A method for inferring network link-level delay distributions based on discrete delay model was proposed to accurately detect networkinternal delay characteristics without the cooperation of network elements. The method was based on end-to-end measurements of multicast traffic. According to different network path-level delay distributions, the bin sizes and the bin intervals in the discrete delay model were selected by using different binning patterns. Network path-level delay distributions were analyzed by maximum likelihood estimation and expectation maximization algorithm to infer network link-level delay distributions. It not only can rationally initialize delay distributions, but also can reduce computational times for estimation. Simulation results show the proposed method can accurately infer network link-level delay distributions.

Keyword:

Maximum likelihood estimation Image segmentation Maximum principle

Author Community:

  • [ 1 ] [Xu, Xin]College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [He, Jingsha]School of Software Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Shi, Henghua]College of Computer Science, Beijing University of Technology, Beijing 100124, China

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Source :

Journal of Huazhong University of Science and Technology (Natural Science Edition)

ISSN: 1671-4512

Year: 2009

Issue: SUPPL. 1

Volume: 37

Page: 275-279

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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