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Dynamic Beats Fixed: On Phase-based Algorithms for File Migration

Published: 25 July 2019 Publication History

Abstract

We construct a deterministic 4-competitive algorithm for the online file migration problem, beating the currently best 20-year-old, 4.086-competitive Move-To-Local-Min (Mtlm) algorithm by Bartal et al. (SODA 1997). Like Mtlm, our algorithm also operates in phases, but it adapts their lengths dynamically depending on the geometry of requests seen so far. The improvement was obtained by carefully analyzing a linear model (factor-revealing linear program) of a single phase of the algorithm. We also show that if an online algorithm operates in phases of fixed length and the adversary is able to modify the graph between phases, then the competitive ratio is at least 4.086.

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      cover image ACM Transactions on Algorithms
      ACM Transactions on Algorithms  Volume 15, Issue 4
      October 2019
      297 pages
      ISSN:1549-6325
      EISSN:1549-6333
      DOI:10.1145/3351875
      Issue’s Table of Contents
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Publication History

      Published: 25 July 2019
      Accepted: 01 June 2019
      Revised: 01 May 2019
      Received: 01 February 2018
      Published in TALG Volume 15, Issue 4

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      Author Tags

      1. File migration
      2. competitive analysis
      3. factor-revealing linear programs
      4. online algorithms

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      • Polish National Science Centre
      • European Research Council (ERC)

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