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The online $$k$$ -server problem with max-distance objective.

Authors :
Xu, Yinfeng
Li, Hongmei
He, Changzheng
Luo, Li
Source :
Journal of Combinatorial Optimization; May2015, Vol. 29 Issue 4, p836-846, 11p
Publication Year :
2015

Abstract

This paper studies the online $$k$$ -server problem with max-distance objective, i.e. minimizing the maximum distance moved among all the servers. For this objective, we prove that no deterministic online algorithm has a competitive ratio better than $$k$$ . We also analyze several classical algorithms for two special cases and show that some algorithms do have a competitive ratio of $$k$$ and hence optimal. Consequently, we conjecture that any metric space allows for a deterministic $$k$$ -competitive $$k$$ -server algorithm with max-distance objective. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13826905
Volume :
29
Issue :
4
Database :
Complementary Index
Journal :
Journal of Combinatorial Optimization
Publication Type :
Academic Journal
Accession number :
101805913
Full Text :
https://doi.org/10.1007/s10878-013-9621-0