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Workshop on Models, Methods and Tools for Reproducible Network Research - A Tool for RApid Model Parameterization and its Applications
Lan, Kun-chan; Heidemann, John (2003)
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mla
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Lan K., et al. "Workshop on Models, Methods and Tools for Reproducible Network Research - A Tool for RApid Model Parameterization and its Applications.", timms video, Universität Tübingen (2003): https://timms.uni-tuebingen.de:443/tp/UT_20030825_010_mometools_0001. Accessed 03 Apr 2025.
apa
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Lan, K. & Heidemann, J. (2003). Workshop on Models, Methods and Tools for Reproducible Network Research - A Tool for RApid Model Parameterization and its Applications. timms video: Universität Tübingen. Retrieved April 03, 2025 from the World Wide Web https://timms.uni-tuebingen.de:443/tp/UT_20030825_010_mometools_0001
harvard
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Lan, K. and Heidemann, J. (2003). Workshop on Models, Methods and Tools for Reproducible Network Research - A Tool for RApid Model Parameterization and its Applications [Online video]. 25 August. Available at: https://timms.uni-tuebingen.de:443/tp/UT_20030825_010_mometools_0001 (Accessed: 3 April 2025).
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title: Workshop on Models, Methods and Tools for Reproducible Network Research - A Tool for RApid Model Parameterization and its Applications
alt. title: Session 4: Modelling the Internet
creators: Lan, Kun-chan (author), Heidemann, John (author)
subjects: Workshop, Modelling the Internet, Model Parameterization, RAMP
description: Workshop im SoSe; Mittwoch, 25. August 2003
abstract: 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 rst 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.
publisher: ZDV Universität Tübingen
contributors: Carle, Georg (producer), Carle, Georg (organizer), Wehrle, Klaus (chairman)
creation date: 2003-08-25
dc type: image
localtype: video
identifier: UT_20030825_010_mometools_0001
language: eng
rights: Url: https://timmsstatic.uni-tuebingen.de/jtimms/TimmsDisclaimer.html?638792810951337683