Towards Empowering Ubiquitous Computing as a Service with Cloud Analytics for Sustainable Manufacturing, Agriculture, Cities, and Buildings

Towards Empowering Ubiquitous Computing as a Service with Cloud Analytics for Sustainable Manufacturing, Agriculture, Cities, and Buildings

연구 분야: Software Development

학회: 2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)

Cloud analytics extends the capabilities of identifying patterns, making predictions, and obtaining business intelligence (BI) insights, enabling organisations to work with massive amounts of complex business data using algorithms and cloud technologies. This type of analysis often involves artificial intelligence (AI), in the form of machine learning (ML) or deep learning (DL) models. Although concerns have been raised about the environmental impact of artificial intelligence and cloud computing, it is widely recognised that these technologies have the potential to support greater sustainability in several fields, including construction, transportation, healthcare, manufacturing, agriculture and water. This work extends our software framework for Ubiquitous Computing as a Service. The framework uses containerisation, low-code platforms, modularity, parallel computing, MQTT, and API to support the creation, configuration, operation, and modification of remote software. In this work, some degree of integration with cloud analytics is added, making it possible to create and populate AWS Redshift tables, train clustering models, and use such models, from containerised software components created and managed through the framework. All software artefacts produced in this work are available on GitHub, including a Postman collection of API requests for demo purposes.