Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
On the relevance of long-range dependence in network traffic
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
On the effect and control of self-similar network traffic: a simulation perspective
Proceedings of the 29th conference on Winter simulation
A central-limit-theorem-based approach for analyzing queue behavior in high-speed networks
IEEE/ACM Transactions on Networking (TON)
On the relevance of long-range dependence in network traffic
IEEE/ACM Transactions on Networking (TON)
On the equivalent bandwidth of self-similar sources
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on modeling and simulation of communication networks
Performance evaluation of multiple time scale TCP under self-similar traffic conditions
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on modeling and simulation of communication networks
Tail probabilities for M/G/\infty input processes (I): Preliminary asymptotics
Queueing Systems: Theory and Applications
Heavy traffic limits associated with M/G/∞ input processes
Queueing Systems: Theory and Applications
M|G|Infinity Input Processes: A Versatile Class of Models for Network Traffic
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Placement of network resources in communication networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Time-domain analysis of Web cache filter effects
Performance Evaluation - Special issue: Distributed systems performance
A decade of Internet research -- advances in models and practices
BT Technology Journal
Snapshot simulation of internet traffic: fast and accurate for heavy-tailed flows
Proceedings of the 1st international conference on Simulation tools and techniques for communications, networks and systems & workshops
Performance analysis of a Poisson-Pareto queue over the full range of system parameters
Computer Networks: The International Journal of Computer and Telecommunications Networking
Snapshot simulation of internet traffic: queueing of fixed-rate flows
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
Self-similar traffic assessment on QoS service classes of WiMAX network
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Tail probabilities for a multiplexer with self-similar traffic
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
A new tool for generating realistic internet traffic in NS-3
Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques
Topology and routing optimization for congestion minimization in optical wireless networks
Optical Switching and Networking
Review: A critical look at power law modelling of the Internet
Computer Communications
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Observations of both Ethernet traffic and variable bit rate (VBR) video traffic have demonstrated that these traffics exhibit "self-similarity" and/or infinite asymptotic index of dispersion for counts (IDC). We report here on measurements of traffic in a commercial public broadband network where similar characteristics have been observed. For the purpose of analysis and dimensioning of the central links of an ATM network we analyse in this paper the performance of a single server queue fed by Gaussian traffic with infinite IDC. The analysis lends to an approximation for the performance of a queue in which the arriving traffic is "fractal" Gaussian and consequently where there does not exist a dominant negative-exponential tail. The term "fractal" is used here in the sense that the autocovariance of the traffic exhibits self-similarity, that is to say, where the autocovariance of an aggregate of the traffic is the same, or asymptotically the same for large time lags, as the original traffic. We are not concerned with proving or exploiting this self-similarity property as such, but only with performance analysis techniques which are effective for such processes. In order to be able to test the performance analysis formulae, we show that traffic with the same autocovariance as measured in a real network over a wide range of lags (sufficiently wide a range for the traffic to be equivalent from the point of view of queueing performance) can be generated as a mixture of two Gaussian AR(1) processes. In this way we demonstrate that the analytic performance formulae are accurate.