The impact of autocorrelation on queuing systems
Management Science
Queue response to input correlation functions: discrete spectral analysis
IEEE/ACM Transactions on Networking (TON)
On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Analysis, modeling and generation of self-similar VBR video traffic
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Experimental queueing analysis with long-range dependent packet traffic
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
On estimating the intensity of long-range dependence in finite and infinite variance time series
A practical guide to heavy tails
A gamma-based framework for modeling variable-rate MPEG video sources: the GOP GBAR model
IEEE/ACM Transactions on Networking (TON)
On the use of self-similar processes in network simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on modeling and simulation of communication networks
A new heavy-tailed discrete distribution for LRD M/G/∞ sample generation
Performance Evaluation
Modeling full-length video using Markov-modulated Gamma-based framework
IEEE/ACM Transactions on Networking (TON)
A highly efficient M/G/∞ generator of self-similar traces
Proceedings of the 38th conference on Winter simulation
Wavelet analysis of long-range-dependent traffic
IEEE Transactions on Information Theory
A refined version of M/G/∞ processes for modelling VBR video traffic
Computer Communications
Study of the impact of MPEG-1 correlations on video-sources statistical multiplexing
IEEE Journal on Selected Areas in Communications
Modeling full-length VBR video using Markov-renewal-modulated TES models
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
Suitability of the M/G/∞ process for modeling scalable H.264 video traffic
ASMTA'11 Proceedings of the 18th international conference on Analytical and stochastic modeling techniques and applications
Analysis of the distribution of the statistic of a test for discriminating correlated processes
NEW2AN'11/ruSMART'11 Proceedings of the 11th international conference and 4th international conference on Smart spaces and next generation wired/wireless networking
Hi-index | 0.00 |
Video represents a larger and larger portion of the traffic in Internet. This traffic is characterized by a high burstiness and a strong short- and long-range correlation, that is very important from the performance point of view. Particularly, the efficient generation of synthetic sample paths is fundamental because real traces are usually of limited length and lack the necessary diversity required to perform such analysis. In this paper, we focus on the M/G/~ process due to its theoretical simplicity, its flexibility to exhibit both Short- and Long-Range Dependence and its advantages for simulation studies when compared to other types of processes, and we improve the adjustment of the short-term correlation of LRD M/G/~-based processes adding autoregressive filters.