Amortized efficiency of list update and paging rules
Communications of the ACM
The LRU-K page replacement algorithm for database disk buffering
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Competitive paging with locality of reference
Selected papers of the 23rd annual ACM symposium on Theory of computing
Online computation and competitive analysis
Online computation and competitive analysis
Experimental studies of access graph based heuristics: beating the LRU standard?
SODA '97 Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms
ESA '01 Proceedings of the 9th Annual European Symposium on Algorithms
The relative worst order ratio applied to paging
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
The relative worst order ratio for on-line algorithms
CIAC'03 Proceedings of the 5th Italian conference on Algorithms and complexity
Paging and list update under bijective analysis
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
On the relative dominance of paging algorithms
Theoretical Computer Science
Comparing First-Fit and Next-Fit for online edge coloring
Theoretical Computer Science
On the relative dominance of paging algorithms
ISAAC'07 Proceedings of the 18th international conference on Algorithms and computation
Comparing online algorithms for bin packing problems
Journal of Scheduling
Parameterized analysis of paging and list update algorithms
WAOA'09 Proceedings of the 7th international conference on Approximation and Online Algorithms
A new variable-sized bin packing problem
Journal of Scheduling
Paging and list update under bijective analysis
Journal of the ACM (JACM)
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The paging algorithm LRU-2 was proposed for use in data-base disk buffering and shown experimentally to perform better than LRU [O'Neil, O'Neil, and Weikum, 1993]. We compare LRU-2 and LRU theoretically, using both the standard competitive analysis and the newer relative worst order analysis. The competitive ratio for LRU-2 is shown to be 2k for cache size k, which is worse than LRU's competitive ratio of k. However, using relative worst order analysis, we show that LRU-2 and LRU are asymptotically comparable in LRU-2's favor, giving a theoretical justification for the experimental results.