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重尾分布信源的排队等待时间的分析方法 被引量:1

Method of Analyzing Queueing Waiting Time of Sources with Heavy-Tailed Distribution
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摘要 介绍了一种变换近似方法,该方法通过变换近似获得重尾分布的拉普拉斯变换,解决了不存在拉普拉斯变换分布的信源排队等待时间分析问题,为实际网络排队缓冲器的设计提供了参考。 In this paper, the transform approximation method is introduced, which gains Laplace transforms of heavy-tailed distributions approximately. It overcomes the difficulties in analyzing queue waiting time of heavy-tailed distribution sources, which havent the Laplace transforms. It can be referred in practical design of the buffers of network queue.
出处 《电子科技大学学报》 EI CAS CSCD 北大核心 2003年第3期343-345,共3页 Journal of University of Electronic Science and Technology of China
关键词 排队 重尾分布 变换近似方法 拉普拉斯变换 queueing heavy-tailed distribution transform approximation method laplace transform
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参考文献6

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同被引文献7

  • 1OLIVEIRA C,KIM J B,SUDA T.Long-range dependence in IEEE 802.11b wireless LAN traffic:an empirical study. Proceedings of the 18th IEEE Annual Workshop on Computer Communications . 2003
  • 2Leland W E,Taqqu M S,Willinger W,et al.On the Self-similar Nature of Ethernet Traffic (Extended Version). IEEE ACM Transactions on Networking . 1994
  • 3Paxson V,Floyd S.Wide-area traffic: the failure of poisson modeling. IEEE ACM Transactions on Networking . 1995
  • 4Crovella M,Bestavros A.Self-Similarity in World Wide Web Traffic: Evidence and Possible Causes. IEEE ACM Transactions on Networking . 1997
  • 5Garrett M W,Willinger W.Analysis, modeling and generation of self-similar VBR video traffic. Proc of ACM Sigcomm'94 . 1994
  • 6J Gao,R Ritke.Long-range-dependence and multifractal model-ing of the vBNStraffic. The2001Applied Telecommunica-tions Symposium . 2001
  • 7Song S B,Ng J K,Tang B H.Some Results on the Self-Similarity Property in Communication Networks. IEEE Transactions on Communications . 2004

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