The present application is directed to the
workflow scheduling problem of multi-user and multi-virtual
server in mobile edge environment, and proposes a multi-user
workflow task offloading decision and scheduling method based on
genetic algorithm. Firstly, the offloading scheduling problem of multi-user and multi-virtual
server workflow task is modeled, and the calculation expression of the total time
delay and
total energy consumption of the
system is obtained on this basis. Then, by using
genetic algorithm, the optimal execution order and offloading position of the workflow task are determined through coding, individual correction, elite selection, adaptive
crossover and
mutation probability operations. The method considers the workflow task offloading scene of multi-user and multi-virtual
server, and can make optimal decisions on the execution order and offloading position of the workflow task through
genetic algorithm, so that the
total energy consumption of the
system is minimized under the condition of meeting the time
delay constraint. The
simulation results show that compared with other several comparison methods, the
system energy consumption can be effectively reduced.