Goodness-of-fit techniques
Empirically derived analytic models of wide-area TCP connections
IEEE/ACM Transactions on Networking (TON)
Wide-area traffic: the failure of Poisson modeling
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
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
IP packet generation: statistical models for TCP start times based on connection-rate superposition
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
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
Characterizing user behavior and network performance in a public wireless LAN
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
A compound model for TCP connection arrivals for LAN and WAN applications
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Advances in modeling and engineering of Longe-Range dependent traffic
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
Characterizing flows in large wireless data networks
Proceedings of the 10th annual international conference on Mobile computing and networking
The changing usage of a mature campus-wide wireless network
Proceedings of the 10th annual international conference on Mobile computing and networking
Characterizing mobility and network usage in a corporate wireless local-area network
Proceedings of the 1st international conference on Mobile systems, applications and services
Singular spectrum analysis of traffic workload in a large-scale wireless lan
Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems
On the detection and origin identification of mobile worms
Proceedings of the 2007 ACM workshop on Recurring malcode
Improving flow level fairness and interactivity in WLANs using size-based scheduling policies
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
On the Variance of the Least Attained Service Policy and Its Use in Multiple Bottleneck Networks
Network Control and Optimization
Linear Representation of Network Traffic
Mobile Networks and Applications
A framework for statistical wireless spectrum occupancy modeling
IEEE Transactions on Wireless Communications
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Campus wireless LANs (WLANs) are complex systems with hundreds of access points (APs) and thousands of users. Their performance analysis calls for realistic models of their elements, which can be input to simulation and testbed experiments but also taken into account for theoretical work. However, only few modeling results in this area are derived from real measurement data, and rarely do they provide a complete and consistent view of entire WLANs. In this work, we address this gap relying on extensive traces collected from the large wireless infrastructure of the University of North Carolina. We present a first system-wide, multi-level modeling approach for characterizing the traffic demand in a campus WLAN. Our approach focuses on two structures of wireless user activity, namely the wireless session and the network flow. We propose statistical distributions for their attributes, aiming at a parsimonious characterization that can be the most flexible foundation for simulation studies. We simulate our models and show that the synthesized traffic is in good agreement with the original trace data. Finally, we investigate to what extent these models can be valid at finer spatial aggregation levels of traffic load, e.g., for modeling traffic demand in hotspot APs.