  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.
