Coordinated autonomic loops for target identification, load and error-aware Device Management for the IoT

• Autorzy: Ayeb Neil , Rutten Eric , Bolle Sébastien , Coupaye Thierry , Douet Marc

Identyfikatory

DOI

10.15439/2020F154

• Konferencja: Federated Conference on Computer Science and Information Systems (15 ; 06-09.09.2020 ; Sofia, Bulgaria)
• Języki publikacji: EN

Abstrakty

EN

With the expansion of Internet of Things (IoT) that relies on heterogeneous, dynamic, and massively deployed devices, device management (DM) (i.e., remote administration such as firmware update, configuration, troubleshooting and tracking) is required for proper quality of service and user experience, deployment of new functions, bug corrections and security patches distribution. Existing industrial DM platforms and approaches do not suit IoT devices and are already showing their limits with a few static home devices (e.g., routers, TV Decoders). Indeed, undetected buggy firmware deployment and manual target device identification are common issues in existing systems. Besides, these platforms are manually operated by experts (e.g., system administrators) and require extensive knowledge and skills. Such approaches cannot be applied on massive and diverse devices forming the IoT. To tackle these issues, our work in an industrial research context proposes to apply autonomic computing to DM platforms operation and impact tracking. Specifically, our contribution relies on automated device targeting (i.e., aiming only suitable devices) and impact-aware DM (i.e., error and anomalies detection preceding patch generalization on all suitable devices of a given fleet). Our solution is composed of three coordinated autonomic loops and allows more accurate and faster irregularity diagnosis, vertical scaling along with simpler IoT DM platform administration. For experimental validation, we developed a prototype that demonstrates encouraging results compared to simulated legacy telecommunication operator approaches (namely Orange).

Słowa kluczowe

EN

device management; multiple loop cooperation; Internet of things; firmware update; configuration management

PL

zarządzanie urządzeniem; współpraca wielopętlowa; Internet rzeczy; aktualizacja oprogramowania; zarządzanie konfiguracją

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2020
• Tom: Vol. 21
• Strony: 491--500
• Opis fizyczny: Bibliogr. 30 poz.,rys.

Twórcy

autor

Ayeb Neil

• Orange Labs, Meylan, France

autor

Rutten Eric

• Univ. Grenoble Alpes, Inria, CNRS, LIG, F-38000 Grenoble France

autor

Bolle Sébastien

• Orange Labs, Meylan, France

autor

Coupaye Thierry

• Orange Labs, Meylan, France

autor

Douet Marc

• Orange Labs, Meylan, France

Bibliografia

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Uwagi

1. Track 3: Network Systems and Applications

2. Technical Session: 4th Workshop on Internet of Things - Enablers, Challenges and Applications

3. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).