Name
Abstract | ||
|---|---|---|
We analyze the performance of a network under general traffics derived from traces. We apply stochastic comparisons in order to derive bounding histograms with a reduced size and complexity. We prove some stochastic monotonicity properties for the network elements, in order to derive bounds on the performance measures such as delays and losses. We show clearly that this approach provides an attractive solution as a trade-off between accuracy of the results and computation times. Moreover, we compare our results with an approximative method previously published, in order to show the accuracy of the bounds, and to highlight the benefits of our approach for network dimensioning. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/HPCC.and.EUC.2013.72 | High Performance Computing and Communications & 2013 IEEE International Conference Embedded and Ubiquitous Computing |
Keywords | Field | DocType |
stochastic processes,telecommunication network management,telecommunication traffic,bounding histogram approach,network dimensioning,network elements,network performance analysis,performance measures,stochastic comparisons,stochastic monotonicity properties | Monotonic function,Histogram,Mathematical optimization,Markov process,Computer science,Finite element method,Network element,Dimensioning,Computation,Bounding overwatch | Conference |
Citations | PageRank | References |
1 | 0.37 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Farah Aït-Salaht | 1 | 1 | 0.37 |
| Hind Castel-Taleb | 2 | 69 | 14.82 |
| Jean-Michel Fourneau | 3 | 20 | 2.93 |
| N. Pekergin | 4 | 34 | 5.94 |