Name
Abstract | ||
|---|---|---|
We consider a special case of the M/G/∞ traffic process, named as Poisson Lomax Burst Process (PLBP), where the burst lengths follow the Lomax distribution. We illustrate its advantage in modelling Internet traffic flow sizes, particularly, its ability to capture a large number of small flows. We provide two approximations based on analytical and fast simulation methods for the overflow probability of a single server queue fed by PLBP, and illustrate their accuracy by discrete-event simulations. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LCOMM.2014.2385083 | IEEE Communications Letters |
Keywords | Field | DocType |
Approximation methods,Analytical models,Random variables,Streaming media,Simulation,Performance evaluation,Internet | Random variable,Computer science,Queue,Computer network,Real-time computing,Lomax distribution,Poisson distribution,Pareto principle,Internet traffic,The Internet,Special case | Journal |
Volume | Issue | ISSN |
19 | 3 | 1089-7798 |
Citations | PageRank | References |
2 | 0.37 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiongze Chen | 1 | 2 | 1.05 |
| Ronald G. Addie | 2 | 39 | 6.33 |
| Moshe Zukerman | 3 | 1660 | 175.61 |
| Timothy D. Neame | 4 | 128 | 12.67 |