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Authors: Marcel Mraz ; Hind Bangui ; Bruno Rossi and Barbora Buhnova

Affiliation: Faculty of Informatics, Masaryk University, Brno, Czech Republic

Keyword(s): Software Architecture, Software Systems Antifragility, Actor Model, Serverless.

Abstract: Antifragility is a novel concept focusing on letting software systems learn and improve over time based on sustained adverse events such as failures. The actor model has been proposed to deal with concurrent computation and has recently been adopted in several serverless platforms. In this paper, we propose a new idea for supporting the adoption of supervision strategies in serverless systems to improve the antifragility properties of such systems. We define a predictive strategy based on the concept of stressors (e.g., injecting failures), in which actors or a hierarchy of actors can be impacted and analyzed for systems’ improvement. The proposed solution can improve the system’s resiliency in exchange for higher complexity but goes in the direction of building antifragile systems.

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Paper citation in several formats:
Mraz, M. ; Bangui, H. ; Rossi, B. and Buhnova, B. (2023). Adopting the Actor Model for Antifragile Serverless Architectures. In Proceedings of the 18th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-665-1; ISSN 2184-2833, SciTePress, pages 612-619. DOI: 10.5220/0012130700003538

@conference{icsoft23,
author={Marcel Mraz and Hind Bangui and Bruno Rossi and Barbora Buhnova},
title={Adopting the Actor Model for Antifragile Serverless Architectures},
booktitle={Proceedings of the 18th International Conference on Software Technologies - ICSOFT},
year={2023},
pages={612-619},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012130700003538},
isbn={978-989-758-665-1},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Software Technologies - ICSOFT
TI - Adopting the Actor Model for Antifragile Serverless Architectures
SN - 978-989-758-665-1
IS - 2184-2833
AU - Mraz, M.
AU - Bangui, H.
AU - Rossi, B.
AU - Buhnova, B.
PY - 2023
SP - 612
EP - 619
DO - 10.5220/0012130700003538
PB - SciTePress

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