Li, Yinhao, Alqahtani, Awatif, Solaiman, Ellis, Perera, Charith  ORCID: https://orcid.org/0000-0002-0190-3346, Jayaraman, Prem Prakash, Buyya, Rajkumar, Morgan, Graham and Ranjan, Rajiv
2019.
IoT-CANE: a unified knowledge management system for data-centric Internet of Things application systems.
Journal of Parallel and Distributed Computing
131
, pp. 161-172.
10.1016/j.jpdc.2019.04.016
|
Abstract
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 are also dynamic in nature, a more unified approach is required. We present IoT-CANE (Context Aware recommendatioN systEm) as such a unified approach. IoT-CANE embodies a unified conceptual model capturing configuration, constraint and infrastructure features of Cloud/Edge together with IoT devices. The success of IoT-CANE is evaluated through an end-user case study.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Computer Science & Informatics |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Publisher: | Elsevier |
| ISSN: | 0743-7315 |
| Date of Acceptance: | 17 April 2019 |
| Last Modified: | 07 Nov 2022 10:58 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/134094 |
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