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@inproceedings{2289518,
author = {Mráz, Marcel and Bangui, Hind and Rossi, Bruno and Bühnová, Barbora},
address = {Neuveden},
booktitle = {Proceedings of the 18th International Conference on Software Technologies - ICSOFT},
doi = {http://dx.doi.org/10.5220/0012130700003538},
keywords = {Software Architecture; Software Systems Antifragility; Actor Model; Serverless},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Neuveden},
isbn = {978-989-758-665-1},
pages = {612-619},
publisher = {SciTePress},
title = {Adopting the Actor Model for Antifragile Serverless Architectures},
url = {https://doi.org/10.5220/0012130700003538},
year = {2023}
}
TY - JOUR
ID - 2289518
AU - Mráz, Marcel - Bangui, Hind - Rossi, Bruno - Bühnová, Barbora
PY - 2023
TI - Adopting the Actor Model for Antifragile Serverless Architectures
PB - SciTePress
CY - Neuveden
SN - 9789897586651
KW - Software Architecture
KW - Software Systems Antifragility
KW - Actor Model
KW - Serverless
UR - https://doi.org/10.5220/0012130700003538
N2 - 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.
ER -
MRÁZ, Marcel, Hind BANGUI, Bruno ROSSI a Barbora BÜHNOVÁ. Adopting the Actor Model for Antifragile Serverless Architectures. Online. In \textit{Proceedings of the 18th International Conference on Software Technologies - ICSOFT}. Neuveden: SciTePress, 2023, s.~612-619. ISBN~978-989-758-665-1. Dostupné z: https://dx.doi.org/10.5220/0012130700003538.
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