On the Competitive Ratio of Online Sampling Auctions

  • Elias Koutsoupias
  • George Pierrakos
Conference paper

DOI: 10.1007/978-3-642-17572-5_27

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6484)
Cite this paper as:
Koutsoupias E., Pierrakos G. (2010) On the Competitive Ratio of Online Sampling Auctions. In: Saberi A. (eds) Internet and Network Economics. WINE 2010. Lecture Notes in Computer Science, vol 6484. Springer, Berlin, Heidelberg


We study online profit-maximizing auctions for digital goods with adversarial bid selection and uniformly random arrivals. Our goal is to design auctions that are constant competitive with \(\mathcal{F}^{(2)}\); in this sense our model lies at the intersection of prior-free mechanism design and secretary problems. We first give a generic reduction that transforms any offline auction to an online one, with only a loss of a factor of 2 in the competitive ratio; we then present some natural auctions, both randomized and deterministic, and study their competitive ratio; our analysis reveals some interesting connections of one of these auctions with RSOP, which we further investigate in our final section.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Elias Koutsoupias
    • 1
  • George Pierrakos
    • 2
  1. 1.University of Athens 
  2. 2.UC Berkeley 

Personalised recommendations