The WAMS Power Data Processing Based on Hadoop

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Provided by: International Association of Computer Science and Information Technology(IACSIT)
Topic: Cloud
Format: PDF
For the mass data efficient processing power, Cloud computing platforms started to popularize in the world scope, which is mainly used to mass data processing and analysis, and it's better to save and use hardware resources. For massive WAMS data, this paper used the MapReduce to make parallel data ETL operations for several files, used MapReduce to improve Apriori algorithm for improve the efficiency of data mining, and proposed the model of data mining of text log file based on Hadoop. According to this model and created the platform for mining of cascading failure power site based on Hadoop, Which digged out the relationship of power site when cascading failures occurred, and verify the efficiency of data mining on Hadoop.
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