Cloud Computing Model for Big Geological Data Processing

摘要: Geological data with phyletic and various, huge complex format, the analysis of geological processing is mainly divided into three parts: Mines forecast, mine evaluation positioning. Traditional model limited by storage space computational efficiency, cannot meet needs a large number fast operations. "Big technology" provides ideal solution to vast amounts management, information extraction, comprehensive analysis. For mass capacity high-speed computing power that "big need, we built an intelligence systems applied based on MapReduce GPU double parallel cloud model. data, using hadoop cluster system solve problem storage, designing efficient method (Graphics Processing Units: calculation Graphics unit), was framework, finally completing improve operation speed system. Through theoretical modeling experimental verification, indicating can precision, amount speed.