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The relative worst order ratio applied to paging
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Source Symposium on Discrete Algorithms archive
Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms table of contents
Vancouver, British Columbia
SESSION: Session 8B table of contents
Pages: 718 - 727  
Year of Publication: 2005
ISBN:0-89871-585-7
Authors
Joan Boyar  University of Southern Denmark, Odense, Denmark
Lene M. Favrholdt  University of Southern Denmark, Odense, Denmark
Kim S. Larsen  University of Southern Denmark, Odense, Denmark
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
: SIAM Activity Group on Discrete Mathematics
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 27,   Citation Count: 3
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ABSTRACT

The relative worst order ratio, a new measure for the quality of on-line algorithms, was recently defined and applied to two bin packing problems. Here, we apply it to the paging problem and obtain the following results: We devise a new deterministic paging algorithm, Retrospective-LRU, and show that it performs better than LRU. This is supported by experimental results, but contrasts with the competitive ratio. All deterministic marking algorithms have the same competitive ratio, but here we find that LRU is better than FWF. According to the relative worst order ratio, no deterministic marking algorithm can be significantly better than LRU, but the randomized algorithm MARK is better than LRU. Finally, look-ahead is shown to be a significant advantage, in contrast to the competitive ratio, which does not reflect that look-ahead can be helpful.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Joan Boyar: colleagues
Lene M. Favrholdt: colleagues
Kim S. Larsen: colleagues