On paging with locality of reference

Susanne Albers, Lene M. Favrholdt, Oliver Giel

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

Motivated by the fact that competitive analysis yields too pessimistic results when applied to the paging problem, there has been considerable research interest in refining competitive analysis and in developing alternative models for studying online paging. In this paper, we propose a new, simple model for studying paging with locality of reference. The model is closely related to Denning's working set concept and directly reflects the amount of locality that request sequences exhibit. We use the page fault rate to evaluate the quality of paging algorithms, which is the performance measure used in practice. We develop tight or nearly tight bounds on the fault rates achieved by popular paging algorithms such as LRU, FIFO, deterministic Marking strategies and LFD. These bounds show that LRU is an optimal online algorithm, whereas FIFO and Marking strategies are not optimal in general. We present an experimental study comparing the page fault rates proven in our analyses to the page fault rates observed in practice.

Original languageEnglish
Pages (from-to)145-175
Number of pages31
JournalJournal of Computer and System Sciences
Volume70
Issue number2
DOIs
StatePublished - Mar 2005
Externally publishedYes

Keywords

  • Fault rate
  • Locality of reference
  • Paging

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