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QuickFaaS: Providing Portability and Interoperability between FaaS Platforms

Author

Listed:
  • Pedro Rodrigues

    (Instituto Superior de Engenharia de Lisboa (ISEL), Politécnico de Lisboa (IPL), 1959-007 Lisboa, Portugal)

  • Filipe Freitas

    (Instituto Superior de Engenharia de Lisboa (ISEL), Politécnico de Lisboa (IPL), 1959-007 Lisboa, Portugal)

  • José Simão

    (Instituto Superior de Engenharia de Lisboa (ISEL), Politécnico de Lisboa (IPL), 1959-007 Lisboa, Portugal
    INESC-ID, 1000-029 Lisboa, Portugal
    Future Internet Technologies, Instituto Superior de Engenharia de Lisboa (ISEL), 1959-007 Lisboa, Portugal)

Abstract

Serverless computing hides infrastructure management from developers and runs code on-demand automatically scaled and billed during the code’s execution time. One of the most popular serverless backend services is called Function-as-a-Service (FaaS), in which developers are often confronted with cloud-specific requirements. Function signature requirements, and the usage of custom libraries that are unique to cloud providers, were identified as the two main reasons for portability issues in FaaS applications, leading to various vendor lock-in problems. In this work, we define three cloud-agnostic models that compose FaaS platforms. Based on these models, we developed QuickFaaS, a multi-cloud interoperability desktop tool targeting cloud-agnostic functions and FaaS deployments. The proposed cloud-agnostic approach enables developers to reuse their serverless functions in different cloud providers with no need to change code or install extra software. We also provide an evaluation that validates the proposed solution by measuring the impact of a cloud-agnostic approach on the function’s performance, when compared to a cloud-non-agnostic one. The study shows that a cloud-agnostic approach does not significantly impact the function’s performance.

Suggested Citation

  • Pedro Rodrigues & Filipe Freitas & José Simão, 2022. "QuickFaaS: Providing Portability and Interoperability between FaaS Platforms," Future Internet, MDPI, vol. 14(12), pages 1-29, November.
  • Handle: RePEc:gam:jftint:v:14:y:2022:i:12:p:360-:d:989241
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    Citations

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    Cited by:

    1. Xu Wang & Bin Shi & Yili Fang, 2023. "Distributed Systems for Emerging Computing: Platform and Application," Future Internet, MDPI, vol. 15(4), pages 1-2, April.

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