Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Sensitivity of output performance measures to input distributions in queueing simulation modeling
Proceedings of the 29th conference on Winter simulation
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)
Telecommunication traffic, queueing models, and subexponential distributions
Queueing Systems: Theory and Applications
Network Traffic Characterization for High-Speed Networks Supporting Multimedia
SS '01 Proceedings of the 34th Annual Simulation Symposium (SS01)
Web traffic modeling exploiting TCP connections' temporal clustering through HTML-REDUCE
IEEE Network: The Magazine of Global Internetworking
| Hi-index | 0.01 |
Internet traffic has been shown to exhibit characteristics that are very different from traditional telephone network traffic such as long-range dependence (LRD). Therefore, performance analysis of queueing system in LRD traffic is needed to design reliable networks under the tremendous growth of Internet traffic. In this paper, we evaluate the sensitivity of input distribution on the output performance measures. We conduct a Monte Carlo simulation based on a designed experiment in order to relate four performance measures such as the mean and the expected maximum number of requests in queue, and the mean and the expected maximum time in queue to the degree of LRD in arrival, traffic intensities and the types of distributions in G/G/1 queue. Experimental results show that mis-identification of input distributions has a significant effects on the output performances especially when one of the input distributions has LRD property. For such cases, Weibull distribution overestimated the output performances while lognormal distribution underestimated those of the LRD queues.