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#### Randomized on-line call control revisited

##### MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44913

Leonardi,  Stefano
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

##### Externe Ressourcen
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##### Volltexte (frei zugänglich)

1997-1-023
(beliebiger Volltext), 11KB

##### Ergänzendes Material (frei zugänglich)
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##### Zitation

Leonardi, S., & Marchetti-Spaccamela, A. P.(1997). Randomized on-line call control revisited (MPI-I-1997-1-023). Saarbrücken: Max-Planck-Institut für Informatik.

Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0014-9D6E-8
##### Zusammenfassung
We consider the on-line problem of call admission and routing on trees and meshes. Previous work considered randomized algorithms and analyzed the {\em competitive ratio} of the algorithms. However, these previous algorithms could obtain very low profit with high probability. We investigate the question if it is possible to devise on-line competitive algorithms for these problems that would guarantee a good'' solution with good'' probability. We give a new family of randomized algorithms with provably optimal (up to constant factors) competitive ratios, and provably good probability to get a profit close to the expectation. We also give lower bounds that show bounds on how high the probability of such algorithms, to get a profit close to the expectation, can be. We also see this work as a first step towards understanding how well can the profit of an competitively-optimal randomized on-line algorithm be concentrated around its expectation.