The invention belongs to the technical field of
edge computing environment
resource scheduling, and relates to a resource collaborative scheduling method in an
edge computing environment. According to the method, the
energy consumption model is constructed on the basis of the
energy consumption data, nodes with low
energy consumption under a specific load can be preferentially selected by predicting energy consumption and scheduling a
system during task allocation, the energy consumption of the whole
system is effectively reduced, and the energy consumption of the whole
system is effectively reduced on the basis of historical power supply data and
environmental data. The power supply capacity of
renewable energy sources in several hours or even several days in the future is predicted, and the system is helped to carry out more accurate energy consumption management and task scheduling in a short time; based on the predicted energy consumption condition and the power supply capacity of the
renewable energy, the system preferentially distributes tasks to nodes which are within the current power supply capacity range and have the lowest energy consumption and stable power supply. Therefore, the method achieves the efficient cooperative scheduling of resources in an
edge computing environment, makes full use of
renewable energy sources, and reduces the difficulty of energy consumption management caused by unstable power supply.