|
|
 |
| |
|
|
|
Interarrival Distribution of a Long-Range Dependent Workload Process |
|
|
|
PP: 15-26 |
|
|
|
Author(s) |
|
|
|
Mine Çaglar,
Mohsin Iftikhar,
Bjorn Landfelt,
|
|
|
|
Abstract |
|
|
| We derive the interarrival distribution of a workload input process which is a variation of the infinite source Poisson process
for packet traffic. It accounts for long-range dependence and self-similarity exhibited by real traces in the Internet. The packet generation
process is compound Poisson over each session which has a heavy tailed distribution. Considering the dependence induced by the
workload, we derive the conditional distribution of the next interarrival time given that a packet has just arrived. This allows the use of
the workload as general arrivals to a queueing system for further performance analysis. |
|
|
|
|
|
|
|
