On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
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)
On the relevance of long-range dependence in network traffic
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
IEEE/ACM Transactions on Networking (TON)
A new heavy-tailed discrete distribution for LRD M/G/∞ sample generation
Performance Evaluation
Queueing at large resources driven by long-tailed M/G/\infty-modulated processes
Queueing Systems: Theory and Applications
General applications 1: a highly efficient M/G/∞ model for generating self-similar traces
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
A refined version of M/G/∞ processes for modelling VBR video traffic
Computer Communications
Modeling video traffic using M/G/∞ input processes: a compromise between Markovian and LRD models
IEEE Journal on Selected Areas in Communications
Using the Whittle Estimator for the Selection of an Autocorrelation Function Family
ASMTA '08 Proceedings of the 15th international conference on Analytical and Stochastic Modeling Techniques and Applications
Efficient On-Line Generation of the Correlation Structure of F-ARIMA Processes
ASMTA '09 Proceedings of the 16th International Conference on Analytical and Stochastic Modeling Techniques and Applications
Flexible adjustment of the short-term correlation of LRD M/G/∞-based processes
Electronic Notes in Theoretical Computer Science (ENTCS)
On the flexibility of M/G/∞ processes for modeling traffic correlations
ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
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
| Hi-index | 0.00 |
Several traffic measurements reports have convincingly shown the presence of self-similarity in current networks, inducing a revolution in the stochastic modeling of traffic. The essence of this behavior can be captured by several classes of self-similar processes. But the use of these processes in performance analysis has opened new problems and research issues in simulation studies, where the efficient generation of synthetic sample paths with self-similar properties is one of the main topics. In this paper, we present an M/G/∞ generator of self-similar traces, based on a highly efficient simulation model using the decomposition property of Poisson processes and the memoryless property of geometric random variables.