Demonstrating liability and trust metrics for multi-actor, dynamic edge and cloud microservices

Anser, Yacine; Gaber, Chrystel; Cajeat, Romain; Wary, Jean-Philippe; Bouzefrane, Samia; Yacoub, Méziane; Kalinagac, Onur; Gür, Gürkan

doi:10.1145/3570361.3614086

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-29468

Publication type:	Conference paper
Type of review:	Peer review (publication)
Title:	Demonstrating liability and trust metrics for multi-actor, dynamic edge and cloud microservices
Authors:	Anser, Yacine Gaber, Chrystel Cajeat, Romain Wary, Jean-Philippe Bouzefrane, Samia Yacoub, Méziane Kalinagac, Onur Gür, Gürkan
et. al:	No
DOI:	10.1145/3570361.3614086 10.21256/zhaw-29468
Proceedings:	Proceedings of the 29th Annual International Conference on Mobile Computing and Networking
Conference details:	29th Annual International Conference on Mobile Computing and Networking (MobiCom), Madrid, Spain, 2-6 October 2023
Issue Date:	2023
Publisher / Ed. Institution:	Association for Computing Machinery
ISBN:	978-1-4503-9990-6
Language:	English
Subjects:	Edge and cloud computing; Microservice; Liability; Application of machine learning; Service level agreement (SLA); Trust
Subject (DDC):	004: Computer science
Abstract:	Transitioning edge and cloud computing in 5G networks towards service-based architecture increases their complexity as they become even more dynamic and intertwine more actors or delegation levels. In this paper, we demonstrate the Liability-aware security manager Analysis Service (LAS), a framework that uses machine learning techniques to compute liability and trust indicators for service-based architectures such as cloud microservices. Based on the commitments of Service Providers (SPs) and real-time observations collected by a Root Cause Analysis (RCA) tool GRALAF, the LAS computes three categories of liability and trust indicators, specifically, a Commitment Trust Score, Financial Exposure, and Commitment Trends.
URI:	https://digitalcollection.zhaw.ch/handle/11475/29468
Fulltext version:	Submitted version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Engineering
Organisational Unit:	Institute of Computer Science (InIT)
Appears in collections:	Publikationen School of Engineering

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Anser, Y., Gaber, C., Cajeat, R., Wary, J.-P., Bouzefrane, S., Yacoub, M., Kalinagac, O., & Gür, G. (2023). Demonstrating liability and trust metrics for multi-actor, dynamic edge and cloud microservices. Proceedings of the 29th Annual International Conference on Mobile Computing and Networking. https://doi.org/10.1145/3570361.3614086

Anser, Y. et al. (2023) ‘Demonstrating liability and trust metrics for multi-actor, dynamic edge and cloud microservices’, in Proceedings of the 29th Annual International Conference on Mobile Computing and Networking. Association for Computing Machinery. Available at: https://doi.org/10.1145/3570361.3614086.

Y. Anser et al., “Demonstrating liability and trust metrics for multi-actor, dynamic edge and cloud microservices,” in Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023. doi: 10.1145/3570361.3614086.

ANSER, Yacine, Chrystel GABER, Romain CAJEAT, Jean-Philippe WARY, Samia BOUZEFRANE, Méziane YACOUB, Onur KALINAGAC und Gürkan GÜR, 2023. Demonstrating liability and trust metrics for multi-actor, dynamic edge and cloud microservices. In: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking. Conference paper. Association for Computing Machinery. 2023. ISBN 978-1-4503-9990-6

Anser, Yacine, Chrystel Gaber, Romain Cajeat, Jean-Philippe Wary, Samia Bouzefrane, Méziane Yacoub, Onur Kalinagac, and Gürkan Gür. 2023. “Demonstrating Liability and Trust Metrics for Multi-Actor, Dynamic Edge and Cloud Microservices.” Conference paper. In Proceedings of the 29th Annual International Conference on Mobile Computing and Networking. Association for Computing Machinery. https://doi.org/10.1145/3570361.3614086.

Anser, Yacine, et al. “Demonstrating Liability and Trust Metrics for Multi-Actor, Dynamic Edge and Cloud Microservices.” Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, Association for Computing Machinery, 2023, https://doi.org/10.1145/3570361.3614086.