The invention discloses a task migration method in an
edge computing platform, belongs to the technical field of
edge computing, and is used for reducing
energy consumption expenditure, communicationexpenditure, migration expenditure and comprehensive expenditure of the
energy consumption expenditure, the communication expenditure and the migration expenditure during task migration in the
edge computing platform. The method comprises the steps of dividing each
server node of a
physical network topology into a hotspot node, a warmspot node and a coldspot node according to the CPU
resource utilization rate; preprocessing the
physical network topology; respectively carrying out short-term
resource utilization rate prediction on the hotspot node and the coldspot node; and respectively carrying out task migration on the hotspot node and the coldspot node which need to be subjected to task migration, and obtaining the position of the
server where each migrated task is located. The method isused for eliminating servers exceeding the upper limit of the
resource utilization rate and lower than the
lower limit of the resource
utilization rate in the edge computing platform, effectively reducing the
energy consumption overhead, the computing time
delay and the
data transmission pressure of the
system, fully utilizing the storage and computing capabilities of the edge servers and relieving the pressure of a
cloud computing center.