[101572] in North American Network Operators' Group
fyi: Supporting the Visualization and Analysis of Network Events
daemon@ATHENA.MIT.EDU (' =JeffH ')
Fri Jan 11 15:43:30 2008
To: nanog@nanog.org
Reply-to: nanog@nanog.org
From: "' =JeffH '" <Jeff.Hodges@KingsMountain.com>
Date: Fri, 11 Jan 2008 12:42:31 -0800
Errors-To: owner-nanog@merit.edu
of possible interest...
=JeffH
------- Forwarded Message
Date: Wed, 09 Jan 2008 16:41:56 -0800
To: pcd-seminar@lists.stanford.edu, colloq@cs.stanford.edu
From: Terry Winograd <winograd@cs.stanford.edu>
Subject: PCD 1/11/08 - Doantam Phan, Stanford HCI, Supporting the
Visualization and Analysis of Network Events
Mime-Version: 1.0
Cc: drussell@google.com
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Stanford Seminar on People, Computers, and Design (CS547)
see http://hci.stanford.edu/seminar for the quarter's schedule
Gates B01 (NEC Classroom) and SITN, 12:30-2:00pm PDT (UTC 19:30)
Video: http://scpd.stanford.edu/scpd/students/courseList.asp CS547
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Friday, January 11, 2008
Doantam Phan, Stanford HCI
http://graphics.stanford.edu/~dphan/
Supporting the Visualization and Analysis of Network Events
The flow of traffic among computers on the Internet and the exchange
of goods between countries are examples of causally connected
measurable events in a network. Understanding the behavior of such
networks often requires the ability to discover temporal connections
among the events in a large data set. One challenge is that the
volume of data makes it difficult to explore the data and organize
the events into a narrative sequence. This dissertation contributes
new interactive visualization techniques for analyzing, organizing,
and presenting network event data at multiple levels of detail for
the purpose of forensic analysis - tracking down causal sequences of
importance.
The first contribution is a technique that supports event analysis,
called progressive multiples. Our techniques are instantiated in a
system for network incident investigation, Isis, which we validated
with a long-term collaboration and deployment with the principal
network analyst of the EE and CS departments. The second contribution
is a technique for automatically generating flow maps, which present
summaries of network topology and behavior at a higher level than
event plots and timelines. Our technique has been adopted by a
diverse group of users to depict the flow of computer networks,
documents, and international ecological trade.
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Doantam Phan has recently completed his Ph.D. in Computer Science at
Stanford University. He studies Human-Computer Interaction, and was
advised by Terry Winograd.
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NEXT WEEK: January 18, 2008 -Dan Russell , Google
How good Google searchers get to be that way
http://hci.stanford.edu/seminar/abstracts/07-08/080118-russell.html
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