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Tuning Runtimes in Open Source FaaS

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Internet of Vehicles. Technologies and Services Toward Smart Cities (IOV 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11894))

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Abstract

A dynamically expanding area of cloud computing is Function as a Service (FaaS). FaaS allows customers to develop, run, and manage application functionalities on cloud infrastructure without the burden of building and managing a virtual infrastructure. The vast majority of FaaS services used in production are provided by public cloud operators, but a growing number of open source FaaS frameworks offer an alternative deploying on-premises FaaS services. FaaS frameworks support different programming language runtimes. The performance of such systems is dependent on these language runtimes. Our goal is to show and analyze this dependency, and provide insights to the important aspect when performance is essential. This paper provides a measurement based evaluation of the capabilities of different language runtimes in FaaS frameworks. We evaluate three different workloads (echo, compute intensive, and data intensive) on the selected runtimes.

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Acknowledgment

The research has been supported by the European Union, co-financed by the European Social Fund (EFOP-3.6.2-16-2017-00013, Thematic Fundamental Research Collaborations Grounding Innovation in Informatics and Infocommunications.

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Authors and Affiliations

  1. Department of Telecommunication and Media Informatics, High Speed Networks Laboratory, Budapest University of Technology and Economics, Budapest, Hungary

    David Balla, Markosz Maliosz & Csaba Simon

  2. Ericsson, Montreal, Canada

    Daniel Gehberger

Authors
  1. David Balla
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  2. Markosz Maliosz
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  3. Csaba Simon
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  4. Daniel Gehberger
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Corresponding author

Correspondence to David Balla .

Editor information

Editors and Affiliations

  1. Chung Hua University, Hsinchu, Taiwan

    Ching-Hsien Hsu

  2. Saint-Quentin-en-Yvelines, Université de Versailles, Versailles Cedex, France

    Sondès Kallel

  3. China Medical University, Tainan, Taiwan

    Kun-Chan Lan

  4. Sun Yat-sen University, Guangzhou, China

    Zibin Zheng

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Balla, D., Maliosz, M., Simon, C., Gehberger, D. (2020). Tuning Runtimes in Open Source FaaS. In: Hsu, CH., Kallel, S., Lan, KC., Zheng, Z. (eds) Internet of Vehicles. Technologies and Services Toward Smart Cities. IOV 2019. Lecture Notes in Computer Science(), vol 11894. Springer, Cham. https://doi.org/10.1007/978-3-030-38651-1_21

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  • DOI: https://doi.org/10.1007/978-3-030-38651-1_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-38650-4

  • Online ISBN: 978-3-030-38651-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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