Network Visualization with the Nam, VINT Network Animator. Estrin, D., Handley, M., Heidemann, J., McCanne, S., Xu, Y., & Yu, H. IEEE Computer, 33(11):63–68, November, 2000. ![Network Visualization with the Nam, VINT Network Animator [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Network protocol designers face difficult tasks, including simultaneously monitoring state in a potentially large number of nodes, understanding and analyzing complex message exchanges, and characterizing dynamic interactions with competing traffic. % \newparagraph Researchers have explored network protocol visualization in many contexts, beginning with static protocol graphs and visualization of large-scale traffic, and more recently including simulation visualizations and editors. Network visualization tools allow designers to take in large amounts of information quickly, visually identify patterns in communication, and better understand causality and interaction. % \newparagraph Nam is a network animator that provides packet-level animation, protocol graphs, traditional time-event plots of protocol actions, and scenario editing capabilities. Nam benefits from a close relationship with ns, which can collect detailed protocol information from a simulation. The authors describe how nam uses preprocessing to visualize data taken directly from real network traces. They also feel that visualization tools such as nam make protocol design and debugging easier.
@Article{Estrin00b,
author = "Deborah Estrin and Mark Handley and John Heidemann and Steven McCanne and Ya Xu and Haobo Yu",
title = "Network Visualization with the {Nam}, {VINT} Network Animator",
journal = "IEEE Computer",
year = 2000,
sortdate = "2000-11-01",
project = "ant, vint",
jsubject = "network_simulation",
volume = 33,
number = 11,
month = nov,
pages = "63--68",
jlocation = "johnh: pafile xxx",
jlocation = "johnh: folder: network/visualization",
keywords = "nam, network visualization, ns, network
simulation, VINT",
copyrightholder = "IEEE",
copyrightterms = " Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ",
myorganization = "USC/Information Sciences Institute",
officialurl = "http://dlib.computer.org/co/books/co2000/pdf/ry063.pdf",
url = "https://ant.isi.edu/%7ejohnh/PAPERS/Estrin00b.html",
doi = "http://dx.doi.org/10.1109/2.881696",
pdfurl = "https://ant.isi.edu/%7ejohnh/PAPERS/Estrin00b.pdf",
abstract = "
Network protocol designers face difficult tasks, including
simultaneously monitoring state in a potentially large number of
nodes, understanding and analyzing complex message exchanges, and
characterizing dynamic interactions with competing traffic.
% \newparagraph
Researchers have explored network protocol visualization in many
contexts, beginning with static protocol graphs and visualization of
large-scale traffic, and more recently including simulation
visualizations and editors. Network visualization tools allow
designers to take in large amounts of information quickly, visually
identify patterns in communication, and better understand causality
and interaction.
% \newparagraph
Nam is a network animator that provides packet-level
animation, protocol graphs, traditional time-event plots of protocol
actions, and scenario editing capabilities. Nam benefits from a close
relationship with ns, which can collect detailed protocol information
from a simulation. The authors describe how nam uses preprocessing to
visualize data taken directly from real network traces. They also feel
that visualization tools such as nam make protocol design and
debugging easier.
",
}
Downloads: 0
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However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ","myorganization":"USC/Information Sciences Institute","officialurl":"http://dlib.computer.org/co/books/co2000/pdf/ry063.pdf","url":"https://ant.isi.edu/%7ejohnh/PAPERS/Estrin00b.html","doi":"http://dx.doi.org/10.1109/2.881696","pdfurl":"https://ant.isi.edu/%7ejohnh/PAPERS/Estrin00b.pdf","abstract":"Network protocol designers face difficult tasks, including simultaneously monitoring state in a potentially large number of nodes, understanding and analyzing complex message exchanges, and characterizing dynamic interactions with competing traffic. % \\newparagraph Researchers have explored network protocol visualization in many contexts, beginning with static protocol graphs and visualization of large-scale traffic, and more recently including simulation visualizations and editors. 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However, \tpermission to reprint/republish this material for advertising \tor promotional purposes or for creating new collective works for resale or redistribution to servers or lists, \tor to reuse any copyrighted component of this work in other works \tmust be obtained from the IEEE. \",\n\tmyorganization =\t\"USC/Information Sciences Institute\",\n\tofficialurl =\t\t\"http://dlib.computer.org/co/books/co2000/pdf/ry063.pdf\",\n\turl =\t\t\"https://ant.isi.edu/%7ejohnh/PAPERS/Estrin00b.html\",\n\tdoi = \"http://dx.doi.org/10.1109/2.881696\",\n\tpdfurl =\t\t\"https://ant.isi.edu/%7ejohnh/PAPERS/Estrin00b.pdf\",\n\tabstract = \"\nNetwork protocol designers face difficult tasks, including\nsimultaneously monitoring state in a potentially large number of\nnodes, understanding and analyzing complex message exchanges, and\ncharacterizing dynamic interactions with competing traffic.\n% \\newparagraph\nResearchers have explored network protocol visualization in many\ncontexts, beginning with static protocol graphs and visualization of\nlarge-scale traffic, and more recently including simulation\nvisualizations and editors. Network visualization tools allow\ndesigners to take in large amounts of information quickly, visually\nidentify patterns in communication, and better understand causality\nand interaction. \n% \\newparagraph\nNam is a network animator that provides packet-level\nanimation, protocol graphs, traditional time-event plots of protocol\nactions, and scenario editing capabilities. Nam benefits from a close\nrelationship with ns, which can collect detailed protocol information\nfrom a simulation. The authors describe how nam uses preprocessing to\nvisualize data taken directly from real network traces. 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