Abstract
The paper recommends an approach to estimate effectively probability of buffer overflow in self-similar queuing networks with finite buffer capacity. Simulations with stochastic (or long-range dependent) traffic source models are conducted. A new efficient algorithm, based on the RESTART method, is developed and applied to accelerate the buffer overflow simulation in a finite buffer single server model under long-range dependent self-similar traffic load with different buffer sizes. Numerical examples and simulation results are provided.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 144-151 |
| Number of pages | 8 |
| Journal | International Journal of Mobile Network Design and Innovation |
| Volume | 5 |
| Issue number | 3 |
| DOIs | |
| State | Published - Nov 1 2014 |
All Science Journal Classification (ASJC) codes
- Software
- Management Information Systems
- Computer Networks and Communications
- Artificial Intelligence