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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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