Optimal timer-based caching policies for general arrival processes View Full Text


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Article Info

DATE

2018-04

AUTHORS

Andres Ferragut, Ismael Rodriguez, Fernando Paganini

ABSTRACT

In this paper, we analyze the hit performance of cache systems that receive file requests with general arrival distributions and different popularities. We consider timer-based policies, with differentiated timers over which we optimize. The optimal policy is shown to be related to the monotonicity of the hazard rate function of the interarrival distribution. In particular, for decreasing hazard rates, timer policies outperform the static policy of caching the most popular contents. We provide explicit solutions for the optimal policy in the case of Pareto-distributed inter-request times and a Zipf distribution of file popularities, including a compact fluid characterization in the limit of a large number of files. We compare it through simulation with classical policies, such as Least Recently Used and discuss its performance. More... »

PAGES

207-241

References to SciGraph publications

  • 2009-12. On the Gittins index in the M/G/1 queue in QUEUEING SYSTEMS
  • 2006. Disciplined Convex Programming in GLOBAL OPTIMIZATION
  • Journal

    TITLE

    Queueing Systems

    ISSUE

    3-4

    VOLUME

    88

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11134-017-9540-3

    DOI

    http://dx.doi.org/10.1007/s11134-017-9540-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1090680128


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