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Activity Number:
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98
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Type:
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Topic Contributed
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Date/Time:
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Monday, July 30, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Physical and Engineering Sciences
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| Abstract - #308787 |
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Title:
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A Somewhat General Framework for Active Network Tomography
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Author(s):
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Earl Lawrence*+
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Companies:
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Los Alamos National Laboratory
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Address:
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MS F600, Los Alamos, NM, 87545,
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Keywords:
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network ; tomography ; trees ; mixture models
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Abstract:
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The field of active network tomography is concerned with the estimation of link-level performance measures (e.g., delay distributions for packets on a link) based on measured end-to-end performance of injected traffic (e.g., total path delay for a probe packet). One area of continuing research is the choice of appropriate distributional forms for estimating delay as many standard parametric distributions are inappropriate. In particular, most parametric distributions are inadequate for modeling the tail behavior of delay distributions. This talk will explore the use of mixture modeling to overcome this limitation. Mixture models provide a flexible tool for capturing overall shape and tail behavior. We will also discuss simpler models with a semiparametric specification for moments that can be used in monitoring scenarios. This framework allows fast, simple estimation.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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