Abstract
Complexity of IoT systems and tasks that are put before them require shifts in the way resources and service provisioning are managed. The concept of fog computing is introduced so as to enhance IoT systems scalability, reactivity, efficiency and privacy. In this paper we present fog computing solution with context aware decision-making procedures distributed between IoT cloud platform and IoT gateways. The solution performs decision-making for smart actuation, based on analysis of sensory data streams, and context informed fog computing resource and service provisioning management based on topology changes. The state-of-the-art mainly focuses either on smart actuation enabled through insightful data analysis and machine learning, or on managing fog system itself in order to improve performance and efficiency. Our solution showcases how one software framework can be used to achieve both. Proof of concept experiments executed on a fog computing testbed validate our solutions performance in improving resilience and responsiveness of the fog computing system in context of topology changes.
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Notes
- 1.
Message Queuing Telemetry Transport: http://www.mqtt.org.
- 2.
FHEM: http://www.fhem.de.
- 3.
EnOcean: http://www.enocean.com.
- 4.
Mosquitto: http://www.mosquitto.org.
- 5.
Haystack: http://www.haystacktechnologies.com.
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Pešić, S., Tošić, M., Iković, O., Ivanović, M., Radovanović, M., Bošković, D. (2018). Context Aware Resource and Service Provisioning Management in Fog Computing Systems. In: Ivanović, M., Bădică, C., Dix, J., Jovanović, Z., Malgeri, M., Savić, M. (eds) Intelligent Distributed Computing XI. IDC 2017. Studies in Computational Intelligence, vol 737. Springer, Cham. https://doi.org/10.1007/978-3-319-66379-1_19
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