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As dynamic-level scheduling algorithm does not consider the risk taken by resource nodes and users' demand, it proposes an analytic hierarchy process approach (AHP) based improved DLS algorithm. By such AHP approach, it manages the task provided by users, and obtains the weight value which reflects users' demand. Because the weight value contains the information about deadline, reparation duty and profit of task, it integrates DLS and the weight value to get an improved DLS, called R-DLS which contains the degree of risk taken by resource nodes. Experiments show that R-DLS receives higher average success rate of task execution and profit in one unit of time with task number increasing than DLS.