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Characterizing and modeling network traffic variability (2002).
| Content Provider | CiteSeerX |
|---|---|
| Author | Pothuri, Sarat Petr, David W. Khan, Sohel |
| Abstract | This paper advocates using the recently introduced Index of Variability (IDV) and a new measure, Peak Rate Variability (PRV), to characterize the variability (burstiness) in real communications network traffic over the entire range of time scales. Further, we suggest the general hyperexponential interarrival distribution as a model suitable for network traffic and evaluate the ability of the third-order hyperexponential model to capture IDV, PRV, and queuing characteristics. Although the hyperexponential interarrival distribution holds promise for network traffic modeling, in part due to its analytical tractability, we conclude that hyperexponential models with order larger than 3 will be required to adequately model the burstiness of real network traffic. |
| File Format | |
| Publisher Date | 2002-01-01 |
| Access Restriction | Open |
| Subject Keyword | Modeling Network Traffic Variability Model Suitable Network Traffic Modeling General Hyperexponential Interarrival Distribution Third-order Hyperexponential Model New Measure Peak Rate Variability Time Scale Entire Range Analytical Tractability Hyperexponential Interarrival Distribution Network Traffic Real Network Traffic Hyperexponential Model Real Communication Network Traffic |
| Content Type | Text |
| Resource Type | Article |
