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  • 标题:The k-Server Problem with Delays on the Uniform Metric Space
  • 本地全文:下载
  • 作者:Predrag KrnetiÄ ; Darya Melnyk ; Yuyi Wang
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2020
  • 卷号:181
  • 页码:1-13
  • DOI:10.4230/LIPIcs.ISAAC.2020.61
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:In this paper, we present tight bounds for the k-server problem with delays in the uniform metric space. The problem is defined on n k nodes in the uniform metric space which can issue requests over time. These requests can be served directly or with some delay using k servers, by moving a server to the corresponding node with an open request. The task is to find an online algorithm that can serve the requests while minimizing the total moving and delay costs. We first provide a lower bound by showing that the competitive ratio of any deterministic online algorithm cannot be better than (2k 1) in the clairvoyant setting. We will then show that conservative algorithms (without delay) can be equipped with an accumulative delay function such that all such algorithms become (2k 1)-competitive in the non-clairvoyant setting. Together, the two bounds establish a tight result for both, the clairvoyant and the non-clairvoyant settings.
  • 关键词:Online k-Server; Paging; Delayed Service; Conservative Algorithms
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