Vienna University of Economics and Business
Recently, cloud computing technologies have been employed for large-scale Machine-To-Machine (M2M) systems, as they could potentially offer better solutions for managing monitoring data and analytics applications to support the needs of different consumers. However, there exist complex relationships between monitored objects, monitoring data, analysis features, and stakeholders in M2M that require efficient ways to handle these complex relationships. This paper presents techniques for linking and managing monitored objects, sustainability monitoring data and analytics applications for different stakeholders in cloud-based M2M systems. The authors describe a Platform-as-a-Service for sustainability governance that implements these techniques.