Future AI applications require performance, reliability and privacy that the
existing, cloud-dependant system architectures cannot provide. In this article,
we study orchestration in the device-edge-cloud continuum, and focus on edge AI
for resource orchestration. We claim that to support the constantly growing
requirements of intelligent applications in the device-edge-cloud computing
continuum, resource orchestration needs to embrace edge AI and emphasize local
autonomy and intelligence. To justify the claim, we provide a general
definition for continuum orchestration, and look at how current and emerging
orchestration paradigms are suitable for the computing continuum. We describe
certain major emerging research themes that may affect future orchestration,
and provide an early vision of an orchestration paradigm that embraces those
research themes. Finally, we survey current key edge AI methods and look at how
they may contribute into fulfilling the vision of future continuum
orchestration.

本文研究了设备边缘云计算中的资源编排，强调边缘 AI 对资源编排的支持和强调本地自治和智能，提出了一个旨在实现未来资源编排愿景的编排范式。