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BEGIN:VEVENT
UID:www.tcs.tifr.res.in/event/277
DTSTAMP:20230914T125917Z
SUMMARY:Link Delay Tomography Via Independent Samples of Path Delay Measure
 ments
DESCRIPTION:Speaker: Gugan  Thoppe\n\nAbstract: \nLink delay tomography is 
 a practically viable approach to obtain statistical information about the 
 delay across each link in a network using only path level measurements. In
  this talk\, we present a novel method that can be used to estimate the co
 mplete distribution of the link delays upto any desired accuracy. The majo
 r highlight of this method is that\, unlike all previous works\, it requir
 es as input only a sequence of independent samples of the end-to-end path 
 delay measurements. The idea is to approximate each link delay distributio
 n using a generalized hyperexponential distribution\, whose exponential st
 age parameters are known in advance\, and focus on estimating the unknown 
 mixing weights. These weights are obtained by solving a set of polynomial 
 systems based on the moment generating function of the end-to-end delays. 
 For unique identifiability\, it is only required that the network be 1-ide
 ntifiable\; a condition which is essentially true for all tree based netwo
 rks.\n
URL:https://www.tcs.tifr.res.in/web/events/277
DTSTART;TZID=Asia/Kolkata:20120519T113000
DTEND;TZID=Asia/Kolkata:20120519T130000
LOCATION:AG-80
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