A method of pre-sentence text based on Map/Reduce storage and indexing classification

Today, as more and more businesses and individuals into the study of cloud computing, data storage in the cloud platform is also growing. So how cloud environment quickly and effectively store, manage and use these data has become a very important and challenging issues. This paper mainly discusses the storage model based on Map/Reduce text categorization, at the same time combining forecasting data classification strategy, classifying the data in the cloud storage system, the hot data stored in the hot disk area, the cold disk data stored in the cold area, and neural network to predict seasonal data, to predict the temperature data in the next period of time, the data in the hot or cold area can be seasonal migration in the region. Indexing based on this model, which can improve the efficiency of huge amounts of data indexing. To a certain extent, reduce query latency and improve search efficiency.