  The development of mobile communication technology, hardware, distributed
computing, and artificial intelligence (AI) technology has promoted the
application of edge computing in the field of heterogeneous Internet of Things
(IoT). In order to overcome the defects of the traditional cloud computing
model in the era of big data. In this article, we first propose a new AIenabled
smart edge with heterogeneous IoT architecture which combines edge computing,
caching, and communication. Then, we propose the Smart-Edge-CoCaCo algorithm.
To minimize total delay and confirm the computation offloading decision,
Smart-Edge-CoCaCo uses joint optimization of the wireless communication model,
the collaborative filter caching model in edge cloud, and the computation
offloading model. Finally, we built an emotion interaction testbed to perform
computational delay experiments in real environments. The experiment results
showed that the computation delay of the Smart-Edge-CoCaCo algorithm is lower
than that of traditional cloud computing model with the increase of computing
task data and the number of concurrent users.
