The invention discloses an edge
machine learning
system based on a container cloud platform. The edge
machine learning
system comprises an infrastructure subsystem, an edge routing subsystem, a storage subsystem, a
machine learning computing equipment subsystem and a platform management subsystem. All the subsystems are containerized into edge container cloud platform service,
resource scheduling,operation monitoring and the like are achieved in a
service mode, and rapid deployment, operation and maintenance and release of the
machine learning computing
system based on the container cloud technology are achieved. According to the self-organizing cooperation method between the edge
machine learning systems, distributed control and a multi-center
network structure are achieved through interaction of the edge
machine learning systems in a self-organizing communication mode, the identity
correctness of the two communication parties is guaranteed through the access
authentication technology, and it is guaranteed that important network propagation content is not stolen. The invention further provides a container inner volume collaborative migration method between the edge machine learning systems, data between the container cloud platforms can be migrated mutually through container inner volume collaborative migration, and service integrity and inertness are guaranteed.