Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/130128
Author(s): Hugo Sereno Ferreira
João Pedro Dias
André Restivo
Tiago Boldt Sousa
Title: A Pattern-Language for Self-Healing Internet-of-Things Systems
Issue Date: 2020-07
Abstract: Internet-of-Things systems are assemblies of highly-distributed and heterogeneous parts that, in orchestration, work to provide valuable services to end-users in many scenarios. These systems depend on the correct operation of sensors, actuators, and third-party services, and the failure of a single one can hinder the proper functioning of the whole system, making error detection and recovery of paramount importance, but often overlooked. By drawing inspiration from other research areas, such as cloud, embedded, and mission-critical systems, we present a set of patterns for self-healing IoT systems. We discuss how their implementation can improve system reliability by providing error detection, error recovery, and health mechanisms maintenance. (c) 2020 ACM.
URI: https://hdl.handle.net/10216/130128
Source: Proceedings of the European Conference on Pattern Languages of Programs 2020
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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