Journal article

IoT-CANE: A unified knowledge management system for data-centric Internet of Things application systems

Yinhao Li, Awatif Alqahtani, Ellis Solaiman, Charith Perera, Prem Prakash Jayaraman, Rajkumar Buyya, Graham Morgan, Rajiv Ranjan

Journal of Parallel and Distributed Computing | Academic Press | Published : 2019


Identifying a suitable configuration of devices, software and infrastructures in the context of user requirements is fundamental to the success of delivering IoT applications. As possible configurations could be large in number and not all configurations are valid, a configuration knowledge representation model can provide ready-made configurations based on IoT requirements. Combining such a model within the context of a given user-oriented scenario, it is possible to automate the recommendation of solutions for deployment and long-time evolution of IoT applications. However, in the context of Cloud/Edge technologies, that may themselves exhibit significant configuration possibilities that a..

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Awarded by LANDSLIP, UK

Awarded by FloodPrep, UK

Awarded by PACE: Privacy-Aware Cloud Ecosystems, UK

Funding Acknowledgements

This research is supported by the following projects: LANDSLIP, UK: NE/P000681/1, FloodPrep, UK: NE/13017134/1 and PACE: Privacy-Aware Cloud Ecosystems, UK: EP/R033293/1.