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Custom Serverless Function Scheduling Policies: An APP Tutorial

Authors Giuseppe De Palma , Saverio Giallorenzo , Jacopo Mauro , Matteo Trentin , Gianluigi Zavattaro

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OASIcs.Microservices.2020-2022.5.pdf
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Subject Classification

ACM Subject Classification
  • Software and its engineering → Scheduling
  • Computer systems organization → Cloud computing
Keywords
  • Serverless
  • Function Scheduling
  • Declarative Languages
  • Tutorial

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Abstract

State-of-the-art serverless platforms use hard-coded scheduling policies that hardly accommodate users in implementing functional or performance-related scheduling logic of their functions, e.g., preserving the execution of critical functions within some geographical boundaries or minimising data-access latencies. We addressed this problem by introducing {APP}: a declarative language for defining per-function scheduling policies which we also implemented as an extension of the open-source OpenWhisk serverless platform. Here, we present a gentle introduction to {APP} through an illustrative application developed over several incremental steps.

Cite As Get BibTex

Giuseppe De Palma, Saverio Giallorenzo, Jacopo Mauro, Matteo Trentin, and Gianluigi Zavattaro. Custom Serverless Function Scheduling Policies: An APP Tutorial. In Joint Post-proceedings of the Third and Fourth International Conference on Microservices (Microservices 2020/2022). Open Access Series in Informatics (OASIcs), Volume 111, pp. 5:1-5:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023) https://doi.org/10.4230/OASIcs.Microservices.2020-2022.5

Author Details

Giuseppe De Palma
  • Università di Bologna, Italy
Saverio Giallorenzo
  • Università di Bologna, Italy
  • INRIA, Sophia Antipolis, France
Jacopo Mauro
  • University of Southern Denmark, Odense, Denmark
Matteo Trentin
  • Università di Bologna, Italy
  • University of Southern Denmark, Denmark
Gianluigi Zavattaro
  • Università di Bologna, Italy
  • INRIA, Sophia Antipolis, France

Funding

Research partly supported by the H2020-MSCA-RISE project ID 778233 "Behavioural Application Program Interfaces (BEHAPI)".

Supplementary Materials

References

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