IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v74y2020i2d10.1007_s11235-020-00653-1.html
   My bibliography  Save this article

BloomTime: space-efficient stateful tracking of time-dependent network performance metrics

Author

Listed:
  • Racyus D. G. Pacífico

    (Universidade Federal de Minas Gerais
    Universidade Federal de Viçosa)

  • Lucas B. Silva

    (Universidade Federal de Viçosa)

  • Gerferson R. Coelho

    (Universidade Federal de Viçosa)

  • Pablo G. Silva

    (Universidade Federal de Minas Gerais)

  • Alex B. Vieira

    (Universidade Federal de Juiz de Fora)

  • Marcos A. M. Vieira

    (Universidade Federal de Minas Gerais)

  • Ítalo F. S. Cunha

    (Universidade Federal de Minas Gerais)

  • Luiz F. M. Vieira

    (Universidade Federal de Minas Gerais)

  • José A. M. Nacif

    (Universidade Federal de Viçosa)

Abstract

Network monitoring is essential to tasks ranging from planning to troubleshooting. Unfortunately, comprehensive real-time monitoring of complex networks with large traffic volume is challenging. In particular, tracking of time-dependent metrics, such as round-trip latency or transmission rate requires maintaining state and this is hard to scale. We propose BloomTime: a network monitoring primitive in hardware that employs standard bloom filters to approximately track the times between packets. We have prototyped BloomTime on the NetFPGA platform. As a use case, we use BloomTime to monitor the mean and variance of packet inter-arrival times. We have compared BloomTime against end-host measurements and a centralized solution using classic stateful monitoring. We show that BloomTime can monitor 70 times more flows than the traditional stateful approach with approximation errors below 20%. BloomTime was validated in a realistic test environment using real traces. We show that BloomTime can monitor simultaneously 2000 flows on the NetFPGA 1G board (first generation) with 4 MB of SRAM.

Suggested Citation

  • Racyus D. G. Pacífico & Lucas B. Silva & Gerferson R. Coelho & Pablo G. Silva & Alex B. Vieira & Marcos A. M. Vieira & Ítalo F. S. Cunha & Luiz F. M. Vieira & José A. M. Nacif, 2020. "BloomTime: space-efficient stateful tracking of time-dependent network performance metrics," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 74(2), pages 201-223, June.
    • Handle: RePEc:spr:telsys:v:74:y:2020:i:2:d:10.1007_s11235-020-00653-1
    DOI: 10.1007/s11235-020-00653-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-020-00653-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11235-020-00653-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:spr:telsys:v:74:y:2020:i:2:d:10.1007_s11235-020-00653-1. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.