Amortized efficiency of list update and paging rules
Communications of the ACM
Random sampling with a reservoir
ACM Transactions on Mathematical Software (TOMS)
Journal of Algorithms
Competitive paging with locality of reference
Selected papers of the 23rd annual ACM symposium on Theory of computing
Towards a theory of cache-efficient algorithms
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
Competitive Analysis of Paging
Developments from a June 1996 seminar on Online algorithms: the state of the art
Competive Analysis of Randomized Paging Algorithms
ESA '96 Proceedings of the Fourth Annual European Symposium on Algorithms
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Computer Architecture: A Quantitative Approach
Computer Architecture: A Quantitative Approach
A study of replacement algorithms for a virtual-storage computer
IBM Systems Journal
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In this paper, we consider the question: what is the worstossible page-replacement strategy? Our goal is to devise an online strategy that has the highest possible fraction of misses as compared to the worst offline strategy. We show that there is no deterministic, online page-replacement strategy that is competitive with the worst offline strategy. We give a randomized strategy based on the "most-recently-used" heuristic, and show that this is the worst possible online page-replacement strategy.