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Tail-Latency-Aware Fog Application Replica Placement

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Service-Oriented Computing (ICSOC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12571))

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Abstract

Latency-sensitive applications often use fog computing platforms to place replicas of their services as close as possible to their end users. A good placement should guarantee a low tail network latency between end-user devices and their closest replica while keeping the replicas load balanced. We propose a latency-aware scheduler integrated in Kubernetes which uses simple yet highly-effective heuristics to identify suitable replica placements, and to dynamically update these placements upon any evolution of user-generated traffic.

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Notes

  1. 1.

    Hona ( ) means “here” in Arabic.

  2. 2.

    https://linux.die.net/man/8/tc.

  3. 3.

    https://wondernetwork.com/.

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Author information

Authors and Affiliations

  1. Univ Rennes, Inria, CNRS, IRISA, Rennes, France

    Ali J. Fahs & Guillaume Pierre

Authors
  1. Ali J. Fahs
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  2. Guillaume Pierre
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Corresponding author

Correspondence to Ali J. Fahs .

Editor information

Editors and Affiliations

  1. Zayed University, Dubai, United Arab Emirates

    Eleanna Kafeza

  2. University of New South Wales, Sydney, NSW, Australia

    Boualem Benatallah

  3. IIT National Research Council C.N.R., Pisa, Italy

    Fabio Martinelli

  4. Zayed University, Dubai, United Arab Emirates

    Hakim Hacid

  5. University of Sydney, Darlington, NSW, Australia

    Athman Bouguettaya

  6. Ernst & Young AI Lab, San Jose, CA, USA

    Hamid Motahari

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Fahs, A.J., Pierre, G. (2020). Tail-Latency-Aware Fog Application Replica Placement. In: Kafeza, E., Benatallah, B., Martinelli, F., Hacid, H., Bouguettaya, A., Motahari, H. (eds) Service-Oriented Computing. ICSOC 2020. Lecture Notes in Computer Science(), vol 12571. Springer, Cham. https://doi.org/10.1007/978-3-030-65310-1_37

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  • DOI: https://doi.org/10.1007/978-3-030-65310-1_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65309-5

  • Online ISBN: 978-3-030-65310-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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