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Distributed Serverless Computing Orchestration Based on Finite Automaton

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Advances in Computer Science for Engineering and Education IV (ICCSEEA 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 83))

Abstract

This paper describes a method of orchestration and choreography of individual FaaS functions using a control-flow graph and execution based on a finite automaton. Such approach for is highly valued for creating vendor-independent computational pipelines – it enables end-user to create such pipelines which can combine FaaS functions from different cloud providers in simple and sustainable manner. In combination with OpenFaaS, this system becomes fully independent from provider and end-user to host such systems in fully controlled existing IaaS or on-premises architecture while saving money on operational costs and retaining all FaaS cons.

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Author information

Authors and Affiliations

  1. National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine

    Vadym Maslov & Andriy Petrashenko

Authors
  1. Vadym Maslov
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  2. Andriy Petrashenko
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Editor information

Editors and Affiliations

  1. School of Educational Information Technology, Central China Normal University, Wuhan, China

    Zhengbing Hu

  2. Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow, Russia

    Sergey Petoukhov

  3. Faculty of Applied Mathematics, National Technical University of Ukraine “Igor Sikorsky Kiev Polytechnic Institute”, Kiev, Ukraine

    Ivan Dychka

  4. Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Plantation, FL, USA

    Matthew He

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Maslov, V., Petrashenko, A. (2021). Distributed Serverless Computing Orchestration Based on Finite Automaton. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education IV. ICCSEEA 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-80472-5_25

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