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Decentralized Dynamic Adaptation for Service-Based Collective Adaptive Systems Read chapter Read first chapter

2017 | OriginalPaper | Chapter

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

Authors : Antoine Auger, Ernesto Exposito, Emmanuel Lochin

Published in: Service-Oriented Computing – ICSOC 2016 Workshops

Publisher: Springer International Publishing

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Abstract

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.

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Footnotes
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Metadata
Title
A Generic Framework for Quality-Based Autonomic Adaptation Within Sensor-Based Systems
Authors
Antoine Auger
Ernesto Exposito
Emmanuel Lochin
Copyright Year
2017
Book
Service-Oriented Computing – ICSOC 2016 Workshops

Print ISBN: 978-3-319-68135-1

Electronic ISBN: 978-3-319-68136-8

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-68136-8_2

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