The current data scheduling platform realizes the network resource scheduling according to data completion time,and takes the task completion time as the basis of balanced scheduling network,in which the energy consumption index of big data network is not considered. That is why it can realize the real network balanced scheduling. Therefore,a big data net⁃work equilibrium scheduling platform based on energy evaluation is put forward in this paper. The platform is composed of the service module,control module,virtualization module and the physical resource module,including the resource definition module, resource monitoring module and resource scheduling module. A network resource scheduling model based on energy evaluation was designed,which takes optimal energy consumption in a certain time interval as its constraint condition. The energy evalua⁃tion in the big data network resource scheduling is analyzed comprehensively. The key code for data acquisition of the schedul⁃ing platform is given. Experiment result shows that the average energy consumption rate,throughput and CPU utilization rate of the designed platform are better,and it has the high load balancing effect.%当前的数据调度平台以数据完成时间实现网络资源的调度，将任务完成时间当成网络均衡调度的基础，未考虑大数据网络的能耗指标，无法实现真正的网络均衡调度。提出基于能量评判的大数据网络均衡调度平台，平台由服务模块、控制模块、虚拟化模块和物理资源模块组成，包括资源定义模块、资源监测模块以及资源调度模块三大功能模块。设计一种基于能量评判的网络资源调度模型，在一定的时间区间内，以能量消耗最佳为约束条件，全面分析大数据网络资源调度中的能量评判问题，给出调度平台采集数据的关键代码。实验结果表明，所设计平台的平均能耗率、吞吐率以及CPU利用率指标都较优，具有较高的负载均衡效果。
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