A Pattern-Language for Self-Healing Internet-of-Things Systems

• Type: Article in International Conference Proceedings Book
• Date: 2020-07

Authors

Hugo Sereno Ferreira (Author) FEUP; João Pedro Dias (Author) FEUP; André Restivo (Author) FEUP; Tiago Boldt Sousa (Author) FEUP

Conference proceedings International

Title: Proceedings of the European Conference on Pattern Languages of Programs 2020

Pages: 1-17

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00T-670

DOI: 10.1145/3424771.3424804

Abstract (EN): 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. © 2020 ACM.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 17