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Collective-aware system-on-chips for dependable IoT applications

Collective-aware system-on-chips for dependable IoT applications
Collective-aware system-on-chips for dependable IoT applications

IoT applications with low-budget connected nodes are emerging for a variety of domains, such as smart cities, geomonitoring, parking sensors, surveillance etc. These low-cost nodes contain System-on-Chips (SoCs) with networking capabil- ities. In this paper, we propose to exploit this feature for their dependability management. In particular, we propose collective- awareness, which is a run-time system that emerges when cloud resources are provided to the SoCs for IoT applications for storing information related to their in-the-field status, such as preferable operating modes and performance degradation. Periodically, a dynamic dependability model is constructed by the collected data and SoCs software is updated to meet user-defined lifetime, reliability and performance requirements. To evaluate the operations of the proposed system, we emulate the in-the- field performance degradation of a fleet of a 10K IoT nodes using Monte Carlo on temperature and workload conditions using the largest IWLS'05 benchmarks. During the first two years of system operation, the dynamically constructed model performs lifetime estimation with up to 57% higher accuracy, compared to a static model that considers data only from the design phase of the circuits, while after three years the dynamic model is always accurate for all the devices.

aging, cyber-physical systems, IoT, reliability
1942-9401
57-60
IEEE
Tenentes, Vasileios
1bff9ebc-9186-438b-850e-6c738994fa39
Rossi, Daniele
30c42382-cf0a-447d-8695-fa229b7b8a2f
Al-Hashimi, Bashir M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Tenentes, Vasileios
1bff9ebc-9186-438b-850e-6c738994fa39
Rossi, Daniele
30c42382-cf0a-447d-8695-fa229b7b8a2f
Al-Hashimi, Bashir M.
0b29c671-a6d2-459c-af68-c4614dce3b5d

Tenentes, Vasileios, Rossi, Daniele and Al-Hashimi, Bashir M. (2018) Collective-aware system-on-chips for dependable IoT applications. In 2018 IEEE 24th International Symposium on On-Line Testing and Robust System Design, IOLTS 2018. IEEE. pp. 57-60 . (doi:10.1109/IOLTS.2018.8474172).

Record type: Conference or Workshop Item (Paper)

Abstract

IoT applications with low-budget connected nodes are emerging for a variety of domains, such as smart cities, geomonitoring, parking sensors, surveillance etc. These low-cost nodes contain System-on-Chips (SoCs) with networking capabil- ities. In this paper, we propose to exploit this feature for their dependability management. In particular, we propose collective- awareness, which is a run-time system that emerges when cloud resources are provided to the SoCs for IoT applications for storing information related to their in-the-field status, such as preferable operating modes and performance degradation. Periodically, a dynamic dependability model is constructed by the collected data and SoCs software is updated to meet user-defined lifetime, reliability and performance requirements. To evaluate the operations of the proposed system, we emulate the in-the- field performance degradation of a fleet of a 10K IoT nodes using Monte Carlo on temperature and workload conditions using the largest IWLS'05 benchmarks. During the first two years of system operation, the dynamically constructed model performs lifetime estimation with up to 57% higher accuracy, compared to a static model that considers data only from the design phase of the circuits, while after three years the dynamic model is always accurate for all the devices.

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More information

e-pub ahead of print date: 1 October 2018
Venue - Dates: 24th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2018, , Platja D'Aro, Spain, 2018-07-01 - 2018-07-03
Keywords: aging, cyber-physical systems, IoT, reliability

Identifiers

Local EPrints ID: 427368
URI: http://eprints.soton.ac.uk/id/eprint/427368
ISSN: 1942-9401
PURE UUID: b194ef30-0780-43a2-819a-e67e5a90bef1

Catalogue record

Date deposited: 14 Jan 2019 17:30
Last modified: 25 Nov 2021 18:54

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Contributors

Author: Vasileios Tenentes
Author: Daniele Rossi
Author: Bashir M. Al-Hashimi

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