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Adaptable Runtime Monitoring for Intermittent Systems

Published: 22 April 2024 Publication History

Abstract

Batteryless energy harvesting devices compute intermittently due to power failures that frequently interrupt the computational activity and lead to charging delays. To ensure functional correctness in intermittent computing, applications must exhibit several unique properties, such as guarantees for computational progress despite power failures and prevention of stale operations caused by charging delays. We observe that current software support for intermittent computing allows for checking only a fixed set of properties and leads to tightly coupled application and property-checking, thus hampering modularity, scalability, and maintainability.
In this paper, we present ARTEMIS, the first framework designed to facilitate flexible property checking of intermittent programs at runtime. ARTEMIS is developed based on techniques from the area of runtime monitoring, offers a specification language for specifying an open set of properties, and provides automatic generation of monitors responsible for checking the properties. Our evaluation showed that ARTEMIS achieves comparable efficiency to state-of-the-art solutions while significantly preventing failure scenarios through its monitoring capabilities.

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Cited By

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  • (2024)On Tracking Time with Better Resolution and Range in Batteryless SystemsProceedings of the 12th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems10.1145/3698384.3699617(42-47)Online publication date: 4-Nov-2024

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cover image ACM Conferences
EuroSys '24: Proceedings of the Nineteenth European Conference on Computer Systems
April 2024
1245 pages
ISBN:9798400704376
DOI:10.1145/3627703
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Published: 22 April 2024

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  1. Batteryless Internet of Things
  2. Intermittent Computing
  3. Runtime Monitoring

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  • (2024)On Tracking Time with Better Resolution and Range in Batteryless SystemsProceedings of the 12th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems10.1145/3698384.3699617(42-47)Online publication date: 4-Nov-2024

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