Green Edge Intelligence for Self-Running Infrastructures
Keywords:
Smart cyber-physical infrastructures; autonomous operations; edge intelligence; Edge AI; automation; sustainability; security; privacy; compliance; openness; collaboration.Abstract
Autonomous enterprise operations carry a significant sustainability dimension, one made increasingly urgent as real-world deployments draw near. Existing literature, however, tends to treat their implementation and resulting behaviours qualitatively, rather than as an explicit foundational design concern. In practice, designing, developing, and deploying autonomous systems raises complex sustainability questions — particularly where resource costs are displaced away from the enterprise itself or deferred to later stages such as a system's lifespan and disposal.
While the impact of intelligent technologies on the digital workforce is widely acknowledged, sustainability considerations — especially regarding the labour market — have only recently gained prominence, with Edge Intelligence emerging as a key focal point. These considerations extend beyond resource requirements like energy and materials to encompass support for the circular economy.
In response, frameworks and metrics are emerging to help companies quantify environmental cost-related indicators. Such indicators are essential for mapping the Edge Intelligence of Cyber-Physical Systems (CPS) and their last-mile deployment. Once clearly defined, implemented, and rigorously assessed, these indicators will enable the autonomous enterprise to shape the smart edge of CPS in line with a sustainable transition and digital justice — or, at minimum, to limit the impact on the workforce.
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