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Performance Evaluation of Long Range Dependent Queues(PPT讲稿)

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 Introduction  Poisson Lomax Burst Process (PLBP) Queue  Fractional Brownian motion (fBm) Queue  Conclusions
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Department of Electronic Engineering(EE) City University of Hong Kong Performance evaluation of Long Range Dependent Queues Chen Jiongze Supervisor: Moshe Zukerman Co-Supervisor: Ronald G. Addie Supported by Grants/City U 124709 and /CityU 8/CRF/13G/

Performance Evaluation of Long Range Dependent Queues Chen Jiongze Supervisor: Moshe Zukerman Co-Supervisor: Ronald G. Addie Department of Electronic Engineering (EE) City University of Hong Kong Supported by Grants [CityU 124709] and [CityU 8/CRF/13G]

Outline Introduction Poisson Lomax burst Process(Plbp)queue Fractional Brownian motion(fBm) Queue Conclusions

 Introduction  Poisson Lomax Burst Process (PLBP) Queue  Fractional Brownian motion (fBm) Queue  Conclusions 2

Outline a Introduction Poisson Lomax burst Process(Plbp)queue Fractional Brownian motion(fBm) Queue Conclusions

 Introduction  Poisson Lomax Burst Process (PLBP) Queue  Fractional Brownian motion (fBm) Queue  Conclusions 3

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… Data Data … Data Traffic Sampling Input process Traffic model Fitting the parameters 10 A good traffic model • capture the nature of the traffic: Long Range Dependence (LRD); • A small number of parameters; • Amenable to analysis

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