  Artificial intelligence is one of the important technologies for industrial
applications, but it requires a lot of computing resources and sensor data to
support it. With the development of edge computing and the Internet of Things,
artificial intelligence are playing an increasingly important role in the field
of edge services. Therefore, how to make intelligent algorithms provide better
services and the development of the Internet of Things has become an
increasingly important topic. This paper focuses on the application of edge
service distribution strategy, and proposes an edge service distribution
strategy based on intelligent prediction, which reduces the bandwidth
consumption of edge service providers and minimizes the cost of edge service
providers. In addition, this article uses the real data provided by the Wangsu
Technology Company and an improved long and short term memory prediction method
to dynamically change the bandwidth, and achieves better optimization of
resources allocation comparing with actual industrial applications.The
simulation results show that our intelligent prediction can achieve good
results, and the mechanism can achieve higher resource utilization.
