Partition-based data cube storage and parallel queries for cloud computing

Data security is a necessary condition whether cloud computing system can be applied in practice. Users are concerned about whether the data stored in the cloud will be divulged to third parties. As the cloud computing system is applicable for decision support applications, this paper focuses on analysis of data partition in the cloud computing environment to ensure the security of decision supported data integrity. This paper proposes a model for partition-based decision data storage and query technology in cloud. This model can be used for decision support data storage and processing. In order to achieve data integrity protection, user´s data is divided and stored in different cloud servers to achieve physical isolation and to ensure that the data cannot be fully disclosed. This paper presents two algorithms, i.e., one is about partition and storage of data, and the other one is about data query and integration. The query language for this model is analyzed, including SQL and extended SQL (which is named as CSQL in this paper). Finally, this mode is verified by an implemented system.