Amortized efficiency of list update and paging rules
Communications of the ACM
Competitive algorithms for server problems
Journal of Algorithms
An optimal on-line algorithm for metrical task system
Journal of the ACM (JACM)
Online computation and competitive analysis
Online computation and competitive analysis
The 3-server problem in the plane
Theoretical Computer Science
Information Processing Letters
Theoretical Computer Science - Special issue: Online algorithms in memoriam, Steve Seiden
The CNN problem and other k-server variants
Theoretical Computer Science - Special issue: Online algorithms in memoriam, Steve Seiden
The generalized two-server problem
Journal of the ACM (JACM)
The on-line asymmetric traveling salesman problem
WADS'05 Proceedings of the 9th international conference on Algorithms and Data Structures
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We consider a server location problem with only one server to move. In this paper we assume that a request is given as a region and that the service can be done anywhere inside the region. Namely, for each request an online algorithm chooses an arbitrary point in the region and moves the server there. Note that if every request is a single point and the server must exactly go there in the given order as conventional server problems, there is no choice for the online player and the problem is trivial. Our main result shows that if the region is a regular n-gon, the competitive ratio of the greedy algorithm is 1/sin@p2n for odd n, and 1/sin@pn for even n. In particular for a square region, the greedy algorithm turns out to be optimal.