Self-similarity in World Wide Web traffic: evidence and possible causes
Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Analyzing stability in wide-area network performance
SIGMETRICS '97 Proceedings of the 1997 ACM SIGMETRICS 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
Measurements and analysis of end-to-end Internet dynamics
Measurements and analysis of end-to-end Internet dynamics
Self-similarity and heavy tails: structural modeling of network traffic
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
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
Difficulties in simulating the internet
IEEE/ACM Transactions on Networking (TON)
DNS performance and the effectiveness of caching
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
A non-instrusive, wavelet-based approach to detecting network performance problems
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
Monitoring very high speed links
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
An analysis of using reflectors for distributed denial-of-service attacks
ACM SIGCOMM Computer Communication Review
Advances in Network Simulation
Computer
Rapid model parameterization from traffic measurements
ACM Transactions on Modeling and Computer Simulation (TOMACS)
IPB: An Internet Protocol Benchmark Using Simulated Traffic
MASCOTS '98 Proceedings of the 6th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
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
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
Nettimer: a tool for measuring bottleneck link, bandwidth
USITS'01 Proceedings of the 3rd conference on USENIX Symposium on Internet Technologies and Systems - Volume 3
Wavelet analysis of long-range-dependent traffic
IEEE Transactions on Information Theory
Realistic and responsive network traffic generation
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Bringing knowledge to network defense
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 3
Swing: realistic and responsive network traffic generation
IEEE/ACM Transactions on Networking (TON)
A new tool for generating realistic internet traffic in NS-3
Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques
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The utility of simulations and analysis heavily relies on good models of network traffic. However, it is difficult to model and simulate the Internet traffic because of the network's great heterogeneity and rapid change. The statistical properties of Internet traffic not only constantly change over time but also vary in other dimensions such as locations and directions. Previously we have developed a tool RAMP that supports rapid parameterization of traffic models from live network measurements. In this paper, we first extend RAMP to support near-real-time trace-driven simulation. Next, we demonstrate the applications of RAMP via three case studies: generation of realistic traffic model for simulation, generation of high bandwidth synthetic network traces, and analysis and modeling of malicious traffic. Finally, we discuss some lessons we learned from using RAMP for traffic modeling.