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  1. Home > Articles & Issues >
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  3. Stochastic Analysis ...
Conference paper

Stochastic Analysis of the $k$-Server Problem on the Circle

Aris Anagnostopoulos (1), Clément Dombry (2) (3), Nadine Guillotin-Plantard (4), Ioannis Kontoyiannis (5), Eli Upfal (6) (7)
(1) Department of Informatics and System Sciences
(2) Laboratoire de Mathématiques et Applications
(3) Laboratoire de mathématiques et applications [UMR 7348]
(4) Institut Camille Jordan
(5) Department of Informatics [Athens]
(6) Department of Computer Science
(7) Department of Computer Science [Providence]
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Imported on
January 31, 2017
Published on
December 31, 2009
Last modified on
March 31, 2025
Volume
DMTCS Proceedings vol. AM, 21st International Meeting on Probabilistic, Combinatorial, and Asymptotic Methods in the Analysis of Algorithms (AofA'10)
Proceedings
DOI
10.46298/dmtcs.2791
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https://about.hal.science/hal-authorisation-v1
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Stochastic Analysis of the $k$-Server Problem on the Circle

Aris Anagnostopoulos (1), Clément Dombry (2) (3), Nadine Guillotin-Plantard (4), Ioannis Kontoyiannis (5), Eli Upfal (6) (7)
(1) Department of Informatics and System Sciences
(2) Laboratoire de Mathématiques et Applications
(3) Laboratoire de mathématiques et applications [UMR 7348]
(4) Institut Camille Jordan
(5) Department of Informatics [Athens]
(6) Department of Computer Science
(7) Department of Computer Science [Providence]
Abstract
We consider a stochastic version of the $k$-server problem in which $k$ servers move on a circle to satisfy stochastically generated requests. The requests are independent and identically distributed according to an arbitrary distribution on a circle, which is either discrete or continuous. The cost of serving a request is the distance that a server needs to move to reach the request. The goal is to minimize the steady-state expected cost induced by the requests. We study the performance of a greedy strategy, focusing, in particular, on its convergence properties and the interplay between the discrete and continuous versions of the process.
Keywords
  • [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
  • [MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]
  • [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
  • [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]
  • $k$-server
  • probabilistic analysis
  • on-line algorithms
Cited by

Source: OpenCitations

  • Stochastic Dominance and the Bijective Ratio of Online Algorithms

    arXiv (Cornell University)

    Authors : Spyros Angelopoulos ORCID, Marc P. Renault ORCID, Pascal Schweitzer ORCID

    Journal reference : Volume 82, 2019, pp. 1101-1135

    DOI : 10.1007/s00453-019-00638-w
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