Randomized online computation with high probability guarantees
- We study the relationship between the competitive ratio and the tail distribution of randomized online problems. To this end, we identify a broad class of online problems for which the existence of a randomized online algorithm with constant expected competitive ratio r implies the existence of a randomized online algorithm that has a competitive ratio of (1+ε)r with high probability, measured with respect to the optimal profit or cost, respectively. The class of problems includes some of the well-studied online problems such as paging, k-server, and metrical task systems on finite metric spaces.
Author: | Tobias MömkeORCiDGND, Rastislav Královič, Richard Královič, Dennis Komm |
---|---|
URN: | urn:nbn:de:bvb:384-opus4-870205 |
Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/87020 |
Parent Title (English): | Algorithmica |
Publisher: | Springer |
Place of publication: | Berlin |
Type: | Article |
Language: | English |
Year of first Publication: | 2022 |
Publishing Institution: | Universität Augsburg |
Release Date: | 2021/05/25 |
Volume: | 84 |
Issue: | 5 |
First Page: | 1357 |
Last Page: | 1384 |
DOI: | https://doi.org/10.1007/s00453-022-00925-z |
Institutes: | Fakultät für Angewandte Informatik |
Fakultät für Angewandte Informatik / Institut für Informatik | |
Fakultät für Angewandte Informatik / Institut für Informatik / Professur für Theoretische Informatik / Resource Aware Algorithmics | |
Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
Licence (German): | CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand) |