Grid workflow scheduling based on time prediction of queuing theory

For the grid workflow of DAG with strict time limits, this paper puts forward a new algorithm based on the time prediction model of queuing theory. According to the requirements of workflow execution time submitted by users, this algorithm finds critical path first and then obtains the probability of actual execution time exceeding the limit time which was set by users using Little's law, and then selects the best candidate resources to execute the workflow task. The simulation results show the effectiveness of the algorithm.