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A Pattern-based Function and Workflow Visual Environment for FaaS Development across the Continuum

Authors:

George Kousiouris,

Szymon Ambroziak,

Blazej Zarzycki,

Domenico Costantino,

Stylianos Tsarsitalidis,

Vasileios Katevas,

Alessandro Mamelli,

Teta StamatiAuthors Info & Claims

ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering

Pages 165 - 172

https://doi.org/10.1145/3578245.3584934

Published: 15 April 2023 Publication History

Abstract

The ability to split applications across different locations in the continuum (edge/cloud) creates needs for application break down into smaller and more distributed chunks. In this realm the Function as a Service approach appears as a significant enabler in this process. The paper presents a visual function and workflow development environment for complex FaaS (Apache OpenwhisK) applications. The environment offers a library of pattern based and reusable nodes and flows while mitigating function orchestration limitations in the domain. Generation of the deployable artefacts, i.e. the functions, is performed through embedded DevOps pipelines. A range of annotations are available for dictating diverse options including QoS needs, function or data locality requirements, function affinity considerations etc. These are propagated to the deployment and operation stacks for supporting the cloud/edge interplay. The mechanism is evaluated functionally through creating, registering and executing functions and orchestrating workflows, adapting typical parallelization patterns and an edge data collection process.

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George Kousiouris, Szymon Ambroziak, Domenico Costantino, Stylianos Tsarsitalidis, Evangelos Boutas, Alessandro Mamelli, and Teta Stamati. 2022. Combining Node-RED and Openwhisk for Pattern-based Development and Execution of Complex FaaS Workflows. https://doi.org/10.48550/ARXIV.2202.09683

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George Kousiouris, Chris Giannakos, Konstantinos Tserpes, and Teta Stamati. 2022. Measuring Baseline Overheads in Different Orchestration Mechanisms for Large FaaS Workflows. In Companion of the 2022 ACM/SPEC International Conference on Performance Engineering.

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Digital Library

Cited By

Katevas VFatouros GKyriazis DKousiouris G(2024)Embedding automated function performance benchmarking, profiling and resource usage categorization in function as a service DevOps pipelinesFuture Generation Computer Systems10.1016/j.future.2024.05.051160:C(223-237)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1016/j.future.2024.05.051
Fatouros GMakridis GMavrogiorgou ASoldatos JFilippakis MKyriazis D(2023)Comprehensive Architecture for Data Quality Assessment in Industrial IoT2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)10.1109/DCOSS-IoT58021.2023.00085(512-517)Online publication date: Jun-2023
https://doi.org/10.1109/DCOSS-IoT58021.2023.00085
Fatouros GKousiouris GLohier TMakridis GPolyviou ASoldatos JKyriazis D(2023)Enhancing Smart Agriculture Scenarios with Low-code, Pattern-oriented functionalities for Cloud/Edge collaboration2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)10.1109/DCOSS-IoT58021.2023.00055(285-292)Online publication date: Jun-2023
https://doi.org/10.1109/DCOSS-IoT58021.2023.00055

Index Terms

A Pattern-based Function and Workflow Visual Environment for FaaS Development across the Continuum
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Cloud computing
2. Software and its engineering
  1. Software creation and management
    1. Software development techniques
      1. Reusability
        Software product lines

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Information & Contributors

Information

Published In

cover image ACM Conferences

ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering

April 2023

421 pages

ISBN:9798400700729

DOI:10.1145/3578245

General Chairs:
Marco Vieira
University of Coimbra, Portugal
,
Valeria Cardellini
University of Rome Tor Vergata, Italy
,
Program Chairs:
Antinisca Di Marco
University of L'Aquila, Italy
,
Petr Tuma
Charles University, Czechia

Copyright © 2023 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 April 2023

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Horizon 2020 Framework Programme

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ICPE '23

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ICPE '23: ACM/SPEC International Conference on Performance Engineering

April 15 - 19, 2023

Coimbra, Portugal

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Overall Acceptance Rate 252 of 851 submissions, 30%

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Cited By

Katevas VFatouros GKyriazis DKousiouris G(2024)Embedding automated function performance benchmarking, profiling and resource usage categorization in function as a service DevOps pipelinesFuture Generation Computer Systems10.1016/j.future.2024.05.051160:C(223-237)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1016/j.future.2024.05.051
Fatouros GMakridis GMavrogiorgou ASoldatos JFilippakis MKyriazis D(2023)Comprehensive Architecture for Data Quality Assessment in Industrial IoT2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)10.1109/DCOSS-IoT58021.2023.00085(512-517)Online publication date: Jun-2023
https://doi.org/10.1109/DCOSS-IoT58021.2023.00085
Fatouros GKousiouris GLohier TMakridis GPolyviou ASoldatos JKyriazis D(2023)Enhancing Smart Agriculture Scenarios with Low-code, Pattern-oriented functionalities for Cloud/Edge collaboration2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)10.1109/DCOSS-IoT58021.2023.00055(285-292)Online publication date: Jun-2023
https://doi.org/10.1109/DCOSS-IoT58021.2023.00055
Fatouros GKousiouris GMakridis GSoldatos JFilippakis MKyriazis D(2023)Enhanced Runtime-Adaptable Routing for Serverless Functions based on Performance and Cost Tradeoffs in Hybrid Cloud Settings2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)10.1109/CloudCom59040.2023.00038(177-184)Online publication date: 4-Dec-2023
https://doi.org/10.1109/CloudCom59040.2023.00038

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