@InProceedings{Lan03b,
	author = 	"Kun-chan Lan and John Heidemann",
	title = 	"A Tool for {RApid} Model Parameterization and its Applications",
	booktitle = 	"Proceedings of the " # " Workshop on Models, Methods and Tools for Reproducible Network Research (MoMeTools)",
	year = 		2003,
	sortdate = 		"2003-08-01", 
	project = "ant, saman",
	jsubject = "traffic_modeling",
	publisher =	"ACM",
	address =	"Karlsruhe, Germany",
	month =		aug,
	pages =		"to appear",
	jlocation =	"johnh: folder: xxx",
	jlocation =	"johnh: pafile",
	keywords =	"RAMP, traffic modeling, on-line traffic modeling",
	url =		"https://ant.isi.edu/%7ejohnh/PAPERS/Lan03b.html",
	pdfurl =	"https://ant.isi.edu/%7ejohnh/PAPERS/Lan03b.pdf",
	myorganization =	"USC/Information Sciences Institute",
	copyrightholder = "ACM",
	copyrightterms = "Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. ",
	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 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.
",
}

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To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. ","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 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. ","bibtex":"@InProceedings{Lan03b,\n\tauthor = \t\"Kun-chan Lan and John Heidemann\",\n\ttitle = \t\"A Tool for {RApid} Model Parameterization and its Applications\",\n\tbooktitle = \t\"Proceedings of the \" # \" Workshop on Models, Methods and Tools for Reproducible Network Research (MoMeTools)\",\n\tyear = \t\t2003,\n\tsortdate = \t\t\"2003-08-01\", \n\tproject = \"ant, saman\",\n\tjsubject = \"traffic_modeling\",\n\tpublisher =\t\"ACM\",\n\taddress =\t\"Karlsruhe, Germany\",\n\tmonth =\t\taug,\n\tpages =\t\t\"to appear\",\n\tjlocation =\t\"johnh: folder: xxx\",\n\tjlocation =\t\"johnh: pafile\",\n\tkeywords =\t\"RAMP, traffic modeling, on-line traffic modeling\",\n\turl =\t\t\"https://ant.isi.edu/%7ejohnh/PAPERS/Lan03b.html\",\n\tpdfurl =\t\"https://ant.isi.edu/%7ejohnh/PAPERS/Lan03b.pdf\",\n\tmyorganization =\t\"USC/Information Sciences Institute\",\n\tcopyrightholder = \"ACM\",\n\tcopyrightterms = \"Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. \",\n\tabstract = \"\nThe utility of simulations and analysis heavily relies on good models\nof network traffic. However, it is difficult to model and simulate the\nInternet traffic because of the network's great heterogeneity and\nrapid change. The statistical properties of Internet traffic not only\nconstantly change over time but also vary in other dimensions such as\nlocations and directions. Previously we have developed a tool RAMP\nthat supports rapid parameterization of traffic models from live\nnetwork measurements. In this paper, we first extend RAMP to support\nnear-real-time trace-driven simulation. Next, we demonstrate the\napplications of RAMP via three case studies: generation of realistic\ntraffic model for simulation, generation of high bandwidth synthetic\nnetwork traces, and analysis and modeling of malicious\ntraffic. Finally, we discuss some lessons we learned from using RAMP\nfor traffic modeling.\n\",\n}\n\n","author_short":["Lan, K.","Heidemann, J."],"bibbaseid":"lan-heidemann-atoolforrapidmodelparameterizationanditsapplications-2003","role":"author","urls":{"Paper":"https://ant.isi.edu/%7ejohnh/PAPERS/Lan03b.html"},"keyword":["RAMP","traffic modeling","on-line traffic modeling"],"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://bibbase.org/f/dHevizJoWEhWowz8q/johnh-2023-2.bib","dataSources":["YLyu3mj3xsBeoqiHK","fLZcDgNSoSuatv6aX","fxEParwu2ZfurScPY","7nuQvtHTqKrLmgu99"],"keywords":["ramp","traffic modeling","on-line traffic modeling"],"search_terms":["tool","rapid","model","parameterization","applications","lan","heidemann"],"title":"A Tool for RApid Model Parameterization and its Applications","year":2003}