A Generic Framework for Quality-Based Autonomic Adaptation Within Sensor-Based Systems

Antoine Auger , Ernesto Expósito (1) , Emmanuel Lochin (2)

1 LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour
2 DMIA - Département de Mathématiques, Informatique, Automatique

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.

Keywords: DBLP; Internet of Things; sensors; observations; Information Qual- ity; adaptation; Autonomic Computing; Service-Oriented Architectures

Domains: Computer Science [cs]

Antoine Auger, Ernesto Expósito, Emmanuel Lochin. A Generic Framework for Quality-Based Autonomic Adaptation Within Sensor-Based Systems. Service-Oriented Computing - ICSOC 2016 Workshops - ASOCA, ISyCC, BSCI, and Satellite Events, Banff, AB, Canada, October 10-13, 2016. Revised Selected Papers, Oct 2016, Banff, Canada. pp.21-32, ⟨10.1007/978-3-319-68136-8_2⟩. ⟨hal-01908067⟩