A document-based data warehousing approach for large scale data mining
ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
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The traditional relational database to online storage are becoming increasingly problematic: the low performance do not gracefully meet the needs of mass data, the storage approaches of massive data are still not perfect presents. NoSQL and distributed memory database technologies have the potential to simplify or eliminate many of these challenges. NoSQL database technologies can provide Key-value style of data storage and largely ensure high performance. Distributed memory database technologies provide a means for easily store mass data in cloud in a dynamic and scalable manner. This paper argues for a new architecture called CDSA, which is a distributed memory NoSQL database architecture for Cloud computing to improve the performance of querying data and ensure mass data storage in cloud by using rational strategy. Furthermore, add or deleted any node from the distributed database cluster, the others node can work without stop service. We believe that CDSA can provide durable storage with high throughput and lower access latency.