Author:
Liu Yingshang,Liang Shouyu,He Chaolin,Zhou Zhifeng,Fang Wenchong,Li Yingchen,Wang Yichang
Abstract
Abstract
This paper first analyzes the process and characteristics of big data and cloud computing. A cloud-based architecture for cloud-based power grid wide-area monitoring is proposed. This architecture uses parallel computing and big data mining to provide relevant auxiliary decision-making for the grid. The cloud computing architecture of this paper is based on Hadoop and a brief description of the Hadoop architecture is demonstrated. Finally, two scenarios of grid visualization and grid scheduling decision are briefly described.
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