Cited by 127Optimization and Search ProblemsAlgorithms and Data CompressionDistributed systems and fault tolerance

Competitive analysis of randomized paging algorithms

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Achlioptas, Dimitris, Chrobak, Marek, Noga, John·2000·Theoretical Computer Science

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Crossref · 10.1016/s0304-3975(98)00116-9

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  • The (e/(e-1))-competitive randomized online algorithm for ski-rental [12] and the H_k-competitive randomized online algorithm for caching [1, 16], give a (H_k + e/(e-1))-competitive randomized online algorithm for rental caching.

    “Corollary 3.7. The ( e e -1 ) -competitive randomized online algorithm for ski-rental [12] and the H k -competitive randomized online algorithm for caching [1, 16], give a ( H k + e e -1 ) -competitive randomized online algorithm for rental caching.”

    From Caching with rental cost and zapping (2012) · cites this paper as [1]

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Research works printed but not linked: 13

  1. A. Borodin, S. Irani, P. Raghavan, B. Schieber, Competitive paging with locality of reference, in: Proc. 23rd ACM Symp. on Theory of Computing, 1991, pp. 249-259.
  2. M. Chrobak, L.L. Larmore, Generosity helps or an 11-competitive algorithm for three servers, J. Algorithms 16 (1994) 234-263; also in Proc. ACM-SIAM Symp. on Discrete Algorithms, 1992b, pp. 196-202.
  3. S. Irani, S. Seiden, Randomized algorithms for metrical task systems, in: Proc. 4th Workshop on Algorithms and Data Structures, 1995, pp. 159-170.
  4. S. Irani, A. Karlin, S. Phillips, Strongly competitive algorithms for paging with locality of reference, in: 3rd Annu. ACM-SIAM Symp. on Discrete Algorithms, 1992, pp. 228-236.
  5. A. Karlin, S. Phillips, P. Raghavan, Markov paging, in: Proc. 33rd IEEE Symp. on Foundations of Computer Science, 1992, pp. 208-217.
  6. E. Koutsoupias, C. Papadimitriou, Beyond competitive analysis, in: Proc. 35th Symp. on Foundations of Computer Science, 1994a, pp. 394-400.
  7. E. Koutsoupias, C. Papadimitriou, On the k-server conjecture, in: Proc. 26th Symp. on Theory of Computing, 1994, pp. 507-511.
  8. H. Kuhn, Extensive games and the problem of information, in: Kuhn, H., Tucker, A. (Eds.), Con- tributions to the Theory of Games, Princeton University Press, 1953, pp. 193-216.
  9. C. Lund, N. Reingold, Linear programs for randomized on-line algorithms, in: Proc. 5th ACM-SIAM Symp. on Discrete Algorithms, 1994a, pp. 382-391.
  10. C. Lund, N. Reingold, J. Westbrook, D. Yan, On-line distributed data management, in: Proc. European Symp. on Algorithms, 1994b, pp. 202-214.
  11. P. Raghavan, M. Snir, Memory versus randomization in online algorithms, in: 16th International Colloquium on Automata, Languages, and Programming, Lecture Notes in Computer Science, vol. 372. Springer, Berlin, 1989, pp. 687-703.
  12. D. Sleator, R.E. Tarjan, Amortized e ciency of list update and paging rules, Communications of the ACM, 28 (1985) 202-208.
  13. N. Young, On-line caching as cache size varies, in: Proc. 2nd Ann. ACM-SIAM Symp. on Discrete Algorithms, 1991, pp. 241-250.

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Authors
Achlioptas, D., Chrobak, M., & Noga, J.
Affiliations
  • University of Toronto (CA)
  • University of California, Riverside (US)
Corresponding author
Noga, John
Venue
Theoretical Computer Science
Publisher
Elsevier BV
Published
2000-03
Volume
234
Issue
1-2
Pages
203-218
ISSN
0304-3975 (ISSN-L)
OpenAlex
W1998843748
Cited by
127
References
2
Citations by year
2026: 1 · 2025: 3 · 2024: 2 · 2023: 1 · 2022: 9 · 2021: 9 · 2020: 4 · 2019: 4 · 2018: 2 · 2017: 7 · 2016: 3 · 2015: 7 · 2014: 4 · 2013: 2 · 2012: 9
FWCI
5.63
Type
journal article
Language
en
Open access
Locations
Theoretical Computer Science (publishedVersion)
Funders
  • National Science Foundation (9503498)
  • Natural Sciences and Engineering Research Council of Canada
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 › Computer Networks and Communications › Distributed systems and fault tolerance
Keywords
cache replacement, randomized algorithms, competitive ratio, work function, marking algorithm, competitive analysis, memory hierarchy, cache misses

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