In order to solve the problem that a calculation computing
algorithm in the prior art is not suitable for the field of intelligent transportation, the invention provides a traffic data-oriented end-edge cooperative computing unloading method, which comprises the following steps: firstly, establishing a
system model for communication time
delay and calculation time
delay; then establishing a systemutility function taking time
delay and resources as constraint conditions; and finally, designing an optimization strategy to obtain balance between the two. In the computing unloading process, calculation resources and time delay are comprehensively considered, and an optimization function is designed to obtain balance between the calculation resources and the time delay. The traffic data-oriented end-edge cooperative computing unloading method firstly establishes a total time delay
system model according to a communication
time system model, an edge side calculation
time system model and alocal calculation
time system model, then comprehensively considers the balance of
resource allocation, designs a
system utility function, finally, researches a
system optimization strategy, and completes the design of a calculation unloading
algorithm. According to the characteristics of intelligent
transportation industry application,
resource allocation and time delay are considered in the
design process, and the performance is superior to that of a traditional
algorithm.