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The Design of Cloud Computing Platform for Massive Data Processing of Distributed Photovoltaic Power

机译:分布式光伏电力大规模数据处理云计算平台的设计

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Because of distributed photovoltaic power generating a large amount of data in every second and in every node, to collect and handle the massive of data in the photovoltaic power system within the prescribed time, it puts the storage and processing of massive data forward higher request, and brings serious challenges. In order to process those massive data, this paper sets up the open source cloud computing platform based on OpenStack, utilizing OpenStack' ability that it can quickly deploy virtual machines and OpenStack' plug-in Savanna, deploying the elastic Hadoop cluster on the virtual machines in cloud platform, then utilizing its powerful distributed data processing capacity, processing the data in the system and environmental parameters efficiently and quickly. Experimental results show that the system can effectively complete data correlation processing, mining the useful information from huge amounts of the data, providing the support for the research and application of distributed photovoltaic data processing.
机译:由于分布式光伏电力在每秒和每个节点中产生大量数据,以收集和处理在规定的时间内的光伏电力系统中的大量数据,它使得存储和处理大规模数据前进的提高请求,并带来严重的挑战。为了处理这些大规模数据,本文基于OpenStack设置了开源云计算平台,利用OpenStack的能力,它可以快速部署虚拟机和OpenStack'插件遗址,在虚拟机上部署Elastic Hadoop集群在云平台中,然后利用其强大的分布式数据处理容量,有效快速地处理系统和环境参数中的数据。实验结果表明,该系统可以有效地完成数据相关处理,从大量数据中挖掘有用的信息,为分布式光伏数据处理的研究和应用提供支持。

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