Data Encryption on GPU for High-Performance Database Systems

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• 作者：Heeseung Jo ; Seung-Tae Hong ; Jae-Woo Chang ; Dong Hoon Choi
• 关键词：Database systems ; Outsourced databases ; GPU ; Encryption
• 刊名：Procedia Computer Science
• 出版年：2013
• 出版时间：2013
• 年：2013
• 卷：19
• 期：Complete
• 页码：147-154
• 全文大小：7975 K

文摘

Graphics processing units have proved its capability for general purpose computing in many research areas. In this paper, we propose the mechanism and implementation of a database system that encrypts and decrypts data by using GPU. The proposed mechanism is mainly designed for a database system that requires data encryption and decryption to support high security level or ODBS. By exploiting the computation capability of GPU, we achieve not only a fast encryption and decryption time per operation but also a higher overall performance of a database system by offioading computation to GPU. Moreover, the proposed system includes a mechanism which can decide whether to offload computation to GPU or not for more performance gain. We implemented the AES algorithm based on CUDA framework and integrate with MySQL, a commodity database system. Our evaluation demonstrates that the encryption and decryption on GPU shows eight times better performance compared that on CPU when the data size is 16 MB. We also show that the proposed system alleviates the utilization of CPU and the overall performance of database system is improved by offioading heavy encrypting and decrypting computation to GPU.