Probabilistic alternatives for competitive analysis

Please always quote using this URN: urn:nbn:de:0297-zib-15131
  • In the last 20 years competitive analysis has become the main tool for analyzing the quality of online algorithms. Despite of this, competitive analysis has also been criticized: It sometimes cannot discriminate between algorithms that exhibit significantly different empirical behavior, or it even favors an algorithm that is worse from an empirical point of view. Therefore, there have been several approaches to circumvent these drawbacks. In this survey, we discuss probabilistic alternatives for competitive analysis.

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Author:Benjamin Hiller, Tjark Vredeveld
Document Type:ZIB-Report
Tag:competitive analysis; online algorithms; probabilistic analysis; survey
MSC-Classification:68-XX COMPUTER SCIENCE (For papers involving machine computations and programs in a specific mathematical area, see Section -04 in that area)
90-XX OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING
CCS-Classification:G. Mathematics of Computing
Date of first Publication:2012/04/19
Series (Serial Number):ZIB-Report (11-55)
ISSN:1438-0064
Published in:Appeared In: Computer Science - Research and Development August 2012, Volume 27, Issue 3, pp 189-196
DOI:http://dx.doi.org/10.1007/s00450-011-0149-1
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung

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