Adaptive trading of Cloud of Things resources

Alrawahi, AS ORCID: https://orcid.org/0000-0003-1990-5101, Lee, K ORCID: https://orcid.org/0000-0002-2730-9150 and Lotfi, A ORCID: https://orcid.org/0000-0002-5139-6565, 2019. Adaptive trading of Cloud of Things resources. In: The 7th International Conference on Future Internet of Things and Cloud (FiCloud 2019), Istanbul, Turkey, 26-28 August 2019.

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Abstract

Cloud of Things (CoT) consists of heterogeneous Cloud and Internet of Things (IoT) resources. CoT increasingly requires adaptive run-time management due to the CoT dynamism, environmental uncertainties and unpredictable changes in IoT resources. Adapting to these changes benefits particularly trading of CoT resources where the adaptability of traded resources and applications remains a challenge. Runtime changes in CoT trading environments can impact vital aspects including resource allocation, resource utilisation and application performance. This paper adopts monitoring, analysis, planning and execution (MAPE) model from autonomic computing to support adaptations when trading CoT resources. This is achieved by applying the MAPE model to systematically capture and identify changes in CoT environment. Based on the identified adaptations, an adaptive model is proposed to react to these changes.

Item Type:	Conference contribution
Creators:	Alrawahi, A.S., Lee, K. and Lotfi, A.
Date:	2019
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	10 Sep 2019 12:49
Last Modified:	10 Sep 2019 12:49
URI:	https://irep.ntu.ac.uk/id/eprint/37625

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