A Sustainable Future in Digital Health: Leveraging Environmentally Friendly Architectural Tactics for Sustainable Data Processing
Haddad T., Kumarapeli P., de Lusignan S., Barman S., Khaddaj S.
The rapid growth of big data in healthcare necessitates optimising data processing to reduce its environmental impact. This paper proposes a pilot architectural framework to evaluate the sustainability of a Big Healthcare Data (BHD) system using Microservices Architecture (MSA). The goal is to enhance MSA's architectural tactics by incorporating environmentally friendly metrics into healthcare systems. This is achieved by adopting energy and carbon efficiency models, alongside exploring innovative architectural strategies. The framework, based on recent research, manipulates cloud-native system architecture by using a controller to adjust microservice deployment through real-time monitoring and modelling. This approach demonstrates how sustainability-driven metrics can be applied at different abstraction levels to estimate environmental impact from multiple perspectives.