An Agent Architecture to Enable Self-healing and Context-aware Web of Things Applications
Rafael Angarita, Maude Manouvrier, Marta Rukoz
2016
Abstract
The Internet of Things (IoT) paradigm promises to connect billions of objects in an Internet-like structure. Applications composed from connected objects in the IoT are expected to have a huge impact in the transportation and logistics, healthcare, smart environments, and personal and social domains. The world of things is much more complex, dynamic, mobile, and failure prone than the world of computers, with contexts changing rapidly and unpredictably. The growing complexity of IoT applications will be unmanageable, and will hamper the creation of new services and applications, unless the systems will show “self-*” functionality such as self-management, self-healing and self-configuration. The Web of Things (WoT) builds on top of the IoT to create applications composed of smart things relying on standard and well-known Web technologies. In this paper, we present a new agent architecture to enable self-healing and context-aware WoT applications.
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Paper Citation
in Harvard Style
Angarita R., Manouvrier M. and Rukoz M. (2016). An Agent Architecture to Enable Self-healing and Context-aware Web of Things Applications . In Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: IoTBD, ISBN 978-989-758-183-0, pages 82-87. DOI: 10.5220/0005932200820087
in Bibtex Style
@conference{iotbd16,
author={Rafael Angarita and Maude Manouvrier and Marta Rukoz},
title={An Agent Architecture to Enable Self-healing and Context-aware Web of Things Applications},
booktitle={Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: IoTBD,},
year={2016},
pages={82-87},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005932200820087},
isbn={978-989-758-183-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: IoTBD,
TI - An Agent Architecture to Enable Self-healing and Context-aware Web of Things Applications
SN - 978-989-758-183-0
AU - Angarita R.
AU - Manouvrier M.
AU - Rukoz M.
PY - 2016
SP - 82
EP - 87
DO - 10.5220/0005932200820087