Abstract
Mission Critical Systems (MCS) require continuous operation since a failure might cause economic or human losses. Autonomous Decentralized Service Oriented Architecture (ADSOA) is a proposal to design and develop MCS in which the system functionality is divided into service units in order to provide functional reliability and load balancing; on the other hand, it offers high availability through distributed replicas. A fault detection and recovering technology has been proposed for ADSOA based on collective intelligence. In this technology, an operation service level degradation should be detected autonomously by the service units at a point in which the continuity of the service may be compromised. Once a failure of this type is detected, each service unit analyses the system’s state and collectively decide the strategy to recover itself. The recovery technology instructs those selected service units to be gradually cloned in order to get the operational service level.
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Godínez Borja, J.S.G., Corona Ruiz, M.A., Pérez Leguízamo, C. (2019). ADSOA - Fault Detection and Recovery Technology Based on Collective Intelligence. In: Martínez-Villaseñor, L., Batyrshin, I., Marín-Hernández, A. (eds) Advances in Soft Computing. MICAI 2019. Lecture Notes in Computer Science(), vol 11835. Springer, Cham. https://doi.org/10.1007/978-3-030-33749-0_15
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