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For the various sizes of random tasks, the possible cost is constrained in the process of cloud resources scheduling. The electricity price of the worldwide dynamic time zones is proposed based on the different electricity price of the world time zone characteristics, the network bandwidth and load levels. The optimization model of energy consumption of such system with execution cost as constraint condition is proposed, which optimizes the energy consumption of cloud system through the load level, electricity price and other factors in the resource scheduling process. In this model, the task hierarchical strategy is designed to realize the hierarchical task energy consumption. Thus, the scheduling algorithm of energy optimization with cost constraint is proposed. The results of experiments show that the algorithm can both optimize the energy consumption and reduce the service cost.

A Cost Constrained Scheduling Model based on MapReduce