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What and Who
Title:Smoothed Analysis of Online Caching
Speaker:Rüdiger Reischuk
coming from:Uni Luebeck
Speakers Bio:
Event Type:Lecture
Visibility:D1, D2, D3, D4, D5, RG1, SWS, MMCI
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Level:AG Audience
Date, Time and Location
Date:Tuesday, 12 March 2013
Duration:45 Minutes
Building:E1 4

Solving an optimization problem \emph{online} means serving a sequence of requests
one after the other without knowing future requests.
The performance of an online algorithm is measured by the \emph{competitive ratio},
the quotient of its solution and an optimal solution computed off\-line.
This ratio can be quite high in the worst case.
The problem to minimize cache misses for a sequence of data requests is a
typical example, where a simple adversary can force a ratio up to to the cache size.
However, the performance of caching algorithms like LRU seems to be much better
in real life.

We have made an approach to explain this phenomenon by a smoothed analysis
and present some results.
We will also discuss how to measure performance ratios in a probabilistic setting.

Name(s):Kurt Mehlhorn
Video Broadcast
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Created by:Kurt Mehlhorn/AG1/MPII/DE, 03/05/2013 07:45 PMLast modified by:Uwe Brahm/MPII/DE, 11/24/2016 04:13 PM
  • Kurt Mehlhorn, 03/05/2013 07:45 PM -- Created document.