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Allocation Priority Policies for Serverless Function-Execution Scheduling Optimisation

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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

Serverless computing is a Cloud development paradigm where developers write and compose stateless functions, abstracting from their deployment and scaling. In this paper, we address the problem of function-execution scheduling, i.e., how to schedule the execution of Serverless functions to optimise their performance against some user-defined goals. We introduce a declarative language of Allocation Priority Policies (APP) to specify policies that inform the scheduling of function execution. We present a prototypical implementation of APP as an extension of Apache OpenWhisk and we validate it by i) implementing a use case combining IoT, Edge, and Cloud Computing and ii) by comparing its performance to an alternative implementation that uses vanilla OpenWhisk.

S. Giallorenzo formerly worked at the University of Southern Denmark, Odense, Denmark.

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Notes

  1. 1.

    The kind of computational resources that determine the option depends on the APIs provided by a given serverless platform. For example, in our prototype in Sect. 4 we consider a worker label when the related invokers are declared “unhealthy” by the OpenWhisk APIs, which use memory consumption and CPU load.

  2. 2.

    In this paper we chose to associate one worker label with one invoker. Future developments can use labels to identify pools of resources, following, e.g., recent proposals to change OpenWhisk invokers with Cluster Managers https://bit.ly/3cxYnTB).

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Author information

Authors and Affiliations

  1. Università di Bologna, Bologna, Italy

    Giuseppe De Palma, Saverio Giallorenzo & Gianluigi Zavattaro

  2. INRIA, Sophia-Antipolis, France

    Saverio Giallorenzo & Gianluigi Zavattaro

  3. University of Southern Denmark, Odense, Denmark

    Jacopo Mauro

Authors
  1. Giuseppe De Palma
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  2. Saverio Giallorenzo
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  3. Jacopo Mauro
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  4. Gianluigi Zavattaro
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Corresponding author

Correspondence to Jacopo Mauro .

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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De Palma, G., Giallorenzo, S., Mauro, J., Zavattaro, G. (2020). Allocation Priority Policies for Serverless Function-Execution Scheduling Optimisation. 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_29

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  • DOI: https://doi.org/10.1007/978-3-030-65310-1_29

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