Abstract: To overcome the problem of the high power consumption of the servers in the cloud computing environment, this paper proposed an energysaving optimization model under big data environment based on genetic algorithm, which optimized the task scheduling to reduce the server power consumption, and then this paper designed some algorithms to formally indicate the model. We test the algorithm in real world, the experiment result shows the proposed model and the algorithms can effectively reduce server power consumption, which improved the system resource utilization.

Key words: big data, cloud computing, MapReduce, GA, energy consumption model