Abstract
Based on the characteristics of data storage structure of HBase, and under the guidance of the storage optimization strategy, an efficient real-time storage model is designed. The real-time flow of data, which has fast storage in the cluster database, will satisfy the user’s multiple needs of the data storage performance. Extenics primitives are used to integrate heterogeneous data-sets stored in the HBase database, cross-regional wireless sensor network data, and global data storage management catalogs for a double layer distributed storage architecture to improve storage and access efficiency. Under the circumstances that the storage space is insufficient or the storage space of the cluster text system is too massive, the HBase database cluster dynamic updating and optimizing the database space are also the research direction of this paper. Finally, the article carries on the experiment and concludes the appraisal through simulation.
Highlights
With the development of Internet of Things in China, there are problems of a large amount of information in information technology, and as the information storage of the end Internet of Things, wireless sensor network spreads more widely in a larger scale and sends greater amount of information [1, 2]
Under the guidance of the storage optimization strategy, we design an efficient real-time storage model—the real-time flow of data, which will be quickly stored in the cluster database to satisfy the multiple needs of the users who require data storage performance
The historical stream data stored in the text form will be migrated to the HBase cluster database in high efficiency and high stability
Summary
With the development of Internet of Things in China, there are problems of a large amount of information in information technology, and as the information storage of the end Internet of Things, wireless sensor network spreads more widely in a larger scale and sends greater amount of information [1, 2]. Under the guidance of the storage optimization strategy, we design an efficient real-time storage model—the real-time flow of data, which will be quickly stored in the cluster database to satisfy the multiple needs of the users who require data storage performance.
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