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A Generic Framework for Quality-based Autonomic Adaptation within Sensor-based Systems

Auger, Antoine and Exposito, Ernesto and Lochin, Emmanuel A Generic Framework for Quality-based Autonomic Adaptation within Sensor-based Systems. (2017) In: 1st Workshop on Adaptive Service-Oriented and Cloud Applications, 10 October 2016 (Banff, Canada).

(Document in English)

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Official URL: https://link.springer.com/chapter/10.1007/978-3-319-68136-8_2


With the growth of the Internet of Things (IoT), sensor-based systems deal with heterogeneous sources, which produce heterogeneous observations of disparate quality. Since network QoS is rarely sufficient to expertise Quality of Observation (QoO), managing such diversity at the application level is a very complex task and requires high levels of experience from application developers. Given this statement, this paper proposes a generic framework for QoO-based autonomic adaptation within sensor-based systems. An abstract architecture is first introduced, intended to bridge the gap between sensors capabilities and application needs thanks to the Autonomic Computing paradigm. Then, the framework is instantiated and practical considerations when implementing an autonomous sensor-based system are given. We illustrate this instantiation with concrete examples of sensor middlewares and IoT platforms.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. The definitive version is available at https://link.springer.com/chapter/10.1007/978-3-319-68136-8_2
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > Université de Pau et des Pays de l'Adour - UPPA (FRANCE)
Laboratory name:
Deposited On:11 Jan 2017 14:00

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