Adopting the Actor Model for Antifragile Serverless Architectures

MRÁZ, Marcel, Hind BANGUI, Bruno ROSSI and Barbora BÜHNOVÁ. Adopting the Actor Model for Antifragile Serverless Architectures. Online. In Proceedings of the 18th International Conference on Software Technologies - ICSOFT. Neuveden: SciTePress, 2023, p. 612-619. ISBN 978-989-758-665-1. Available from: https://dx.doi.org/10.5220/0012130700003538.

Basic information

• Original name: Adopting the Actor Model for Antifragile Serverless Architectures
• Authors: MRÁZ, Marcel (203 Czech Republic, belonging to the institution), Hind BANGUI (504 Morocco, belonging to the institution), Bruno ROSSI (380 Italy, guarantor, belonging to the institution) and Barbora BÜHNOVÁ (203 Czech Republic, belonging to the institution).
• Edition: Neuveden, Proceedings of the 18th International Conference on Software Technologies - ICSOFT, p. 612-619, 8 pp. 2023.
• Publisher: SciTePress

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10200 1.2 Computer and information sciences
• Country of publisher: Portugal
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: electronic version available online
• WWW: URL
• RIV identification code: RIV/00216224:14330/23:00130926
• Organization unit: Faculty of Informatics
• ISBN: 978-989-758-665-1
• ISSN: 2184-2833
• Doi: http://dx.doi.org/10.5220/0012130700003538
• Keywords in English: Software Architecture; Software Systems Antifragility; Actor Model; Serverless
• Tags: firank_B
• Tags: International impact, Reviewed

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.

Links

• CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU(CEP code: EF16_019/0000822): Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Acronym: C4e)

Investor: Ministry of Education, Youth and Sports of the CR, CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence, Priority axis 1: Strengthening capacities for high-quality research

• EF16_019/0000822, research and development project: Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur