基于电力大数据调度云的优化分析

Optimization analysis of cloud based on power big data scheduling

为实现电力大数据调度云的优化,加强性能和可伸缩性性能,提出调度云框架,在分析基础设施中、平台层的层次接受基础上,设计调度云拓扑结构,并设计多维索引、数据更新等技能提升技术。通过仿真实验,验证云计算处理电力大数据的可行性,实现调度云优化,存储数据可靠性高,采用分布式计算处理数据,提高相应的及时性。

In order to optimize the power of big data cloud scheduling, rank performance performance, proposed scheduling framework of the cloud, in the analysis of infraslevel was accepted on the basis of the design of scheduling cloud topology , and the design ofmultidimensional indexing and data updating skills upgrading technology. Through simulationexperiments , the feasibility of treatment of inflammation of cloud computing power of big realize scheduling optimization , high data reliability , distributed computing data processing , improve the timeliness of the corresponding.