Cited by 2,123Optimization and Search ProblemsAlgorithms and Data CompressionComplexity and Algorithms in Graphs

Amortized efficiency of list update and paging rules

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Sleator, Daniel D., Tarjan, Robert E.·1985·Communications of the ACM

Abstract

In this article we study the amortized efficiency of the “move-to-front” and similar rules for dynamically maintaining a linear list. Under the assumption that accessing the ith element from the front of the list takes θ(i) time, we show that move-to-front is within a constant factor of optimum among a wide class of list maintenance rules. Other natural heuristics, such as the transpose and frequency count rules, do not share this property. We generalize our results to show that move-to-front is within a constant factor of optimum as long as the access cost is a convex function. We also study paging, a setting in which the access cost is not convex. The paging rule corresponding to move-to-front is the “least recently used” (LRU) replacement rule. We analyze the amortized complexity of LRU, showing that its efficiency differs from that of the off-line paging rule (Belady's MIN algorithm) by a factor that depends on the size of fast memory. No on-line paging algorithm has better amortized performance.

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Research works printed but not linked: 5

  1. Bentley, J.L., and McCeoch, C. Worst-case analysis of self-organizing seouential search heuristics. In Proceedings of 2Ofh Allerton Confcr- ence on Communication, Control, and Cornfifing, (Univ. Illinois, Urbana-Champaign. Oct. 6-8,1962), 1983.45~461.
  2. Franaszek, P.A.. and Wagner, T.J. Some distribution-free aspects of paging performance. J. ACM 21, 1 (Jan. 1974), 31-39.
  3. Knuth. DE. The Art of Computer Programming, Volume 3: Sorting and Searching Addison-Wesley, Reading, MA, 1973.
  4. Rivest. R. On self-organizing sequential search heuristics. Commun. ACM 19, 2 [Feb. 1976), 63-67.
  5. Spirn, J.R. Progam Behavior: Models and Measurements. Elsevier, New York. 1977. - CR Categories and Subject Descriptors: D.4.2 [Operating Systems]: Storage Management-swapping; E.l [Data]: Data Structures--lists; tables; F.2.2 [Analysis of Algorithms and Problem Complexity]: Nonnu- merical Algorithms and Problems-sorting and searching General Terms: Algorithms, Theory Additional Key Words and Phrases: self-organizing, move-to-front, least recently used. paging.

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Authors
Sleator, D. D., & Tarjan, R. E.
Affiliations
AT&T (United States) (US)
Venue
Communications of the ACM
Published
1985-02
Volume
28
Issue
2
Pages
202-208
ISSN
  • 0001-0782 (ISSN-L)
  • 1557-7317
OpenAlex
W2041645394
Cited by
2,123
References
0
Citations by year
2026: 18 · 2025: 33 · 2024: 40 · 2023: 45 · 2022: 56 · 2021: 64 · 2020: 54 · 2019: 70 · 2018: 54 · 2017: 58 · 2016: 67 · 2015: 66 · 2014: 58 · 2013: 77 · 2012: 72
FWCI
10.27
Type
journal article
Language
en
Open access
Locations
Communications of the ACM (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Optimization and Search Problems
  • Physical Sciences › Computer Science › Artificial Intelligence › Algorithms and Data Compression
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Complexity and Algorithms in Graphs
Keywords
amortized analysis, paging, online algorithms, offline algorithms

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