On the self-similar nature of Ethernet traffic
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes
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
Data networks as cascades: investigating the multifractal nature of Internet WAN traffic
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Monitoring very high speed links
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
On the autocorrelation structure of TCP traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Advances in modeling and engineering of Longe-Range dependent traffic
On the autocorrelation structure of TCP traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Advances in modeling and engineering of Longe-Range dependent traffic
Rapid model parameterization from traffic measurements
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Generation of High Bandwidth Network Traffic Traces
MASCOTS '02 Proceedings of the 10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
Modeling IP traffic using the batch Markovian arrival process
Performance Evaluation - Modelling techniques and tools for computer performance evaluation
Self-configuring network traffic generation
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
The NLAMR network analysis infrastructure
IEEE Communications Magazine
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Performance testing on a network that is loaded by realistic background traffic, is an important issue in the design of network applications. To obtain this background traffic, a packet stream can be captured on a real network. For testing the application under varying network loads, straightforward techniques can be applied to alter the originally captured traffic trace. An example thereof is faster replay of the packet stream. The drawback of these simple techniques is that the packet stream will be altered in many ways, and thus a simple multiplication of the load that is inflicted by the packet stream on a network cannot be guaranteed. This paper presents and analyzes some frequently used load scaling methods. Next to the computationally more demanding use of traffic models, a novel technique is introduced based on the rotation of the bin vector, that combines better accuracy with computational simplicity.