Research and Implementation of Remote Sensing Big Data Distributed Technology
In the past ten years, the global various digital information grows explosively, and a big data era with massive data production, sharing and application is opened. In this decade,with the development of information technology, distributed storage and computing technology get great development to de...
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Veröffentlicht in: | Ying yong qi xiang xue bao = Quarterly journal of applied meteorology 2017-01 (5) |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | chi |
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Online-Zugang: | Volltext |
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Zusammenfassung: | In the past ten years, the global various digital information grows explosively, and a big data era with massive data production, sharing and application is opened. In this decade,with the development of information technology, distributed storage and computing technology get great development to deal with the explosive growth of information, and the knowledge system and technical reserves are established gradually. In China, research on big data and distributed computing is being carried out widely. For satellite remote sensing data of large volume and rapid growth, the traditional archive-callback-application cannot meet demands of data analysis and data mining in the era of big data.The traditional file-based way has many limitations, especially when used for cloud computing and intelligent services, and it is very difficult to use. The big data grid model and distributed model is the key to solve the bottleneck, enabling real-time computing and on-demand services, and therefore it has important reference |
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ISSN: | 1001-7313 |