short-paper

Transferring transactional business processes to FaaS

Authors:

Kostas Meladakis,

Chrysostomos Zeginis,

Kostas Magoutis,

Dimitris PlexousakisAuthors Info & Claims

WoSC '22: Proceedings of the Eighth International Workshop on Serverless Computing

Pages 25 - 30

https://doi.org/10.1145/3565382.3565882

Published: 22 November 2022 Publication History

Abstract

Function-as-a-Service (FaaS) is a modern cloud service model that has gained significant attention from the research and industry communities in recent years for its many benefits such as dynamic scaling, cost efficiency, faster programming, flexibility to microservices and containers technology. However, the building and deployment of serverless applications come with many challenges that need to be tackled, like workflow design complexity and migration of other applications. When transactions between different parties are involved, the workflow becomes knotty and the communication between participants and all properties of transactions have to be properly resolved. Transactions have widely been discussed in Business processes, so same practices might be adopted by serverless workflows. In this work we provide guidelines and mapping mechanisms for transforming transactional Business Process Modeling Notation 2.0 (BPMN2) applications to a serverless platform. We shed light on the current inability of function orchestrators to express workflow definitions, and deal with various architectural dilemmas that stem from the dissimilar nature of stateful BPMN vs. stateless serverless applications. We overcome the unbalanced capabilities between well-established BPMN notations and function orchestration definitions and illustrate how to exploit and combine cloud native services that comes with FaaS to create serverless applications.

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Digital Library

Cited By

Mathew AAndrikopoulos VBlaauw FKarastoyanova D(2024)Pattern-based serverless data processing pipelines for Function-as-a-Service orchestration systemsFuture Generation Computer Systems10.1016/j.future.2023.12.026154:C(87-100)Online publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1016/j.future.2023.12.026
Qi SLiu XJin XDruschel PKaufmann AMace JFlinn JSeltzer M(2023)Halfmoon: Log-Optimal Fault-Tolerant Stateful Serverless ComputingProceedings of the 29th Symposium on Operating Systems Principles10.1145/3600006.3613154(314-330)Online publication date: 23-Oct-2023
https://dl.acm.org/doi/10.1145/3600006.3613154

Index Terms

Transferring transactional business processes to FaaS
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
  2. Embedded and cyber-physical systems
    1. Embedded systems
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Software system models

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Published In

cover image ACM Conferences

WoSC '22: Proceedings of the Eighth International Workshop on Serverless Computing

November 2022

42 pages

ISBN:9781450399272

DOI:10.1145/3565382

General Chairs:
Kaiwen Zhang
ETS
,
Abdelouahed Gherbi
ETS
,
Paolo Bellavista
University of Bologna, Italy

Copyright © 2022 ACM.

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Publication History

Published: 22 November 2022

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Short-paper

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Greek Research Technology Development and Innovation Action
EU

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Middleware '22

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ACM

Middleware '22: 23rd International Middleware Conference

November 7, 2022

Quebec City, Quebec, Canada

Upcoming Conference

MIDDLEWARE '24

25th International Middleware Conference

December 2 - 6, 2024

Hong Kong , Hong Kong

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Cited By

Mathew AAndrikopoulos VBlaauw FKarastoyanova D(2024)Pattern-based serverless data processing pipelines for Function-as-a-Service orchestration systemsFuture Generation Computer Systems10.1016/j.future.2023.12.026154:C(87-100)Online publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1016/j.future.2023.12.026
Qi SLiu XJin XDruschel PKaufmann AMace JFlinn JSeltzer M(2023)Halfmoon: Log-Optimal Fault-Tolerant Stateful Serverless ComputingProceedings of the 29th Symposium on Operating Systems Principles10.1145/3600006.3613154(314-330)Online publication date: 23-Oct-2023
https://dl.acm.org/doi/10.1145/3600006.3613154

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