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)
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
The changing nature of network traffic: scaling phenomena
ACM SIGCOMM Computer Communication Review
Visualizing Data
Programming with Data: A Guide to the S Language
Programming with Data: A Guide to the S Language
An Empirical Model of HTTP Network Traffic
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
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)
On the nonstationarity of Internet traffic
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
What TCP/IP protocol headers can tell us about the web
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
TStat: TCP STatistic and Analysis Tool
QoS-IP 2003 Proceedings of the Second International Workshop on Quality of Service in Multiservice IP Networks
Efficient use of memory bandwidth to improve network processor throughput
Proceedings of the 30th annual international symposium on Computer architecture
Self-configuring network traffic generation
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Change-Point Monitoring for the Detection of DoS Attacks
IEEE Transactions on Dependable and Secure Computing
Measuring IP and TCP behavior on edge nodes with Tstat
Computer Networks: The International Journal of Computer and Telecommunications Networking
Systems with multiple servers under heavy-tailed workloads
Performance Evaluation - Performance 2005
Tmix: a tool for generating realistic TCP application workloads in ns-2
ACM SIGCOMM Computer Communication Review
Spatio-temporal modeling of traffic workload in a campus WLAN
WICON '06 Proceedings of the 2nd annual international workshop on Wireless internet
Delay-based early congestion detection and adaptation in TCP: impact on web performance
Computer Communications
Quantifying the effects of recent protocol improvements to TCP: Impact on Web performance
Computer Communications
Measuring IP and TCP behavior on edge nodes with Tstat
Computer Networks: The International Journal of Computer and Telecommunications Networking
Review: A critical look at power law modelling of the Internet
Computer Communications
Real-time volume control for interactive network traffic replay
Computer Networks: The International Journal of Computer and Telecommunications Networking
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TCP start times for HTTP are nonstationary. The nonstationarity occurs because the start times on a link, a point process, are a superposition of source traffic point processes, and the statistics of superposition changes as the number of superposed processes changes. The start time rate is a measure of the number of traffic sources. The univariate distribution of the inter-arrival times is approximately Weibull, and as the rate increases, the Weibull shape parameter goes to 1, an exponential distribution. The autocorrelation of the log inter-arrival times is described by a simple, two-parameter process: white noise plus a long-range persistent time series. As the rate increases, the variance of the persistent series tends to zero, so the log times tend to white noise. A parsimonious statistical model for log inter-arrivals accounts for the autocorrelation, the Weibull distribution, and the nonstationarity in the two with the rate. The model, whose purpose is to provide stochastic input to a network simulator, has the desirable property that the superposition point process is generated as a single stream. The parameters of the model are functions of the rate, so to generate start times, only the rate is specified. As the rate increases, the model tends to a Poisson process. These results arise from theoretical and empirical study based on the concept of connection-rate superposition. The theory is the mathematics of superposed point processes, and the empiricism is an analysis of 23 million TCP connections organized into 10704 blocks of approximately 15 minutes each.