For the problem that the energy efficiency of the cloud computing data center is low, from the\r\npoint of view of the energy efficiency of the servers, we propose a new energy-efficient multi-job\r\nscheduling model based on Google�s massive data processing framework. To solve this model,\r\nwe design a practical encoding and decoding method for the individuals and construct an overall\r\nenergy efficiency function of the servers as the fitness value of each individual. Meanwhile, in order\r\nto accelerate the convergent speed of our algorithm and enhance its searching ability, a local search\r\noperator is introduced. Finally, the experiments show that the proposed algorithm is effective and\r\nefficient.
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