Analysis, modeling and generation of self-similar VBR video traffic
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
On the relevance of long-range dependence in network traffic
IEEE/ACM Transactions on Networking (TON)
Real-time estimation of the parameters of long-range dependence
IEEE/ACM Transactions on Networking (TON)
Performance evaluation of a queue fed by a Poisson Pareto burst process
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Advances in modeling and engineering of Longe-Range dependent traffic
Modeling multiple IP traffic streams with rate limits
IEEE/ACM Transactions on Networking (TON)
A Markovian approach for modeling packet traffic with long-range dependence
IEEE Journal on Selected Areas in Communications
Modeling video traffic using M/G/∞ input processes: a compromise between Markovian and LRD models
IEEE Journal on Selected Areas in Communications
On the use of fractional Brownian motion in the theory of connectionless networks
IEEE Journal on Selected Areas in Communications
| Hi-index | 0.00 |
A MMPP-Gamma-fBm (MGF) fitting method is proposed in this paper. The aim is to obtain an exact solution for communications performance analysis considering markovian heavy-tailed arrivals. The MGF fitting also enables the replacement of an aggregated signal of MMPP processes by a single Gamma source for driven-simulation evaluation. The results show that using the proposed mapping it is possible to obtain exact results using the fractional Brownian storage or scaling formula. Simulation experiments showed that the convergence of heavy-tail processes to the steady state is a very critical point to the performance analysis.