IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v15y2023i3p91-d1079669.html
   My bibliography  Save this article

Scope and Accuracy of Analytic and Approximate Results for FIFO, Clock-Based and LRU Caching Performance

Author

Listed:
  • Gerhard Hasslinger

    (Deutsche Telekom, 64289 Darmstadt, Germany)

  • Konstantinos Ntougias

    (Department of Electrical and Computer Engineering, University of Cyprus, Nicosia 22006, Cyprus)

  • Frank Hasslinger

    (Department of Computer Science, Darmstadt University of Technology, 64289 Darmstadt, Germany)

  • Oliver Hohlfeld

    (Distributed Systems Group, University of Kassel, 34127 Kassel, Germany)

Abstract

We evaluate analysis results and approximations for the performance of basic caching methods, assuming independent requests. Compared with simulative evaluations, the analysis results are accurate, but their computation is tractable only within a limited scope. We compare the scalability of analytical FIFO and LRU solutions including extensions for multisegment caches and for caches with data of varying sizes. On the other hand, approximations have been proposed for the FIFO and LRU hit ratio. They are simple and scalable, but their accuracy is confirmed mainly through asymptotic behaviour only for large caches. We derive bounds on the approximation errors in a detailed worst-case study with a focus on small caches. The approximations are extended to data of different sizes. Then a fraction of unused cache space can add to the deviations, which is estimated in order to improve the solution.

Suggested Citation

  • Gerhard Hasslinger & Konstantinos Ntougias & Frank Hasslinger & Oliver Hohlfeld, 2023. "Scope and Accuracy of Analytic and Approximate Results for FIFO, Clock-Based and LRU Caching Performance," Future Internet, MDPI, vol. 15(3), pages 1-17, February.
    • Handle: RePEc:gam:jftint:v:15:y:2023:i:3:p:91-:d:1079669
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/15/3/91/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/15/3/91/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John McCabe, 1965. "On Serial Files with Relocatable Records," Operations Research, INFORMS, vol. 13(4), pages 609-618, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Leisen, Fabrizio & Lijoi, Antonio & Paroissin, Christian, 2011. "Limiting behavior of the search cost distribution for the move-to-front rule in the stable case," Statistics & Probability Letters, Elsevier, vol. 81(12), pages 1827-1832.
    2. Ryo Hirade & Takayuki Osogami, 2010. "Analysis of Page Replacement Policies in the Fluid Limit," Operations Research, INFORMS, vol. 58(4-part-1), pages 971-984, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:15:y:2023:i:3:p:91-:d:1079669. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.