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On competitive on-line paging with lookahead

  • Dany Breslauer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1046)

Abstract

This paper studies two methods for improving the competitive efficiency of on-line paging algorithms: in the first, the on-line algorithm can use more pages; in the second, it is allowed to have a lookahead, or in other words, some partial knowledge of the future. The paper considers a new measure for the lookahead size as well as Young's resource-bounded lookahead and proves that both measures have the attractive property that the competitive efficiency of an on-line algorithm with k extra pages and lookahead l depends on k+l. Hence, under these measures, an on-line algorithm has the same benefit from using an extra page or knowing an extra bit of the future.

Keywords

Competitive Ratio Page Fault Request Sequence Page Request Fast Memory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Dany Breslauer
    • 1
  1. 1.BRICS - Basic Research in Computer Science - Centre of the Danish National Research Foundation, Department of Computer ScienceUniversity of AarhusAarhus CDenmark

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