On the self-similar nature of Ethernet traffic (extended version)
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)
Is service priority useful in networks?
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Generating representative Web workloads for network and server performance evaluation
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
A practical guide to heavy tails
Dynamics of IP traffic: a study of the role of variability and the impact of control
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Statistical bandwidth sharing: a study of congestion at flow level
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Advances in Network Simulation
Computer
Towards Provisioning Diffserv Intra-Nets
IWQoS '01 Proceedings of the 9th International Workshop on Quality of Service
On the relationship between file sizes, transport protocols, and self-similar network traffic
ICNP '96 Proceedings of the 1996 International Conference on Network Protocols (ICNP '96)
Towards connecting base stations over metro gigabit ethernets
QShine '06 Proceedings of the 3rd international conference on Quality of service in heterogeneous wired/wireless networks
Cheating detection through game time modeling: A better way to avoid time cheats in P2P MOGs?
Multimedia Tools and Applications
Why QoS will be needed in metro ethernets
IWQoS'05 Proceedings of the 13th international conference on Quality of Service
Hi-index | 0.00 |
Simulations with web traffic usually generate input by sampling a heavy-tailed object size distribution. As a consequence these simulations remain in transient state over all periods of time, i.e. all statistics that depend on moments of this distribution, such as the average object size or the average user-perceived latency of downloads, do not converge within periods practically feasible for simulations. We therefore investigate whether the 95-th, 98-th, and 99-th latency percentiles, which do not depend on the extreme tail of the latency distribution, are more suitable statistics for the performance evaluation. We exploit that corresponding object size percentiles in samples from a heavy-tailed distribution converge to normal distributions during periods feasible for simulations. Conducting a simulation study with ns-2, we find a similar convergence for network latency percentiles. We explain this finding with probability theory and propose a method to reliably test for this convergence.