Ji Yimu

A Cloud Computing Service Architecture of a Parallel Algorithm Oriented to Scientific Computing with CUDA and Monte Carlo

Abstract The GPGPU (General Purpose Graphics Processing Units) have become a whole new area for research due to the fast development of GPU hardware and programming tools, such as CUDA (Compute Unified Device Architecture). Here we have made a research on CUDA and its applications in the field of scientific computation, as organ electronics. We propose one solution of the parallel computation in global optimization of the physical characteristics in organ electronics with Monte Carlo, and one cloud service architecture for parallel computation of organ electronics was designed. Finally, one case of computing the organ molecule moving orbit was implemented based on the above solution and architecture, and has got a good display by the cloud service.

A Privacy Protection Solution for the Balance of Performance and Security in Cloud Computing

In order to strengthen users’ confidence to upload the private data to cloud platform, existing ways stressed too much on the security. However, cloud computing was an open and distributed environment, and it should provide highly robust, security and quality service to users. So it was necessary to balance the performance and security in cloud platforms, and one hybrid privacy protection solution was proposed with KP-ABE and CP-ABE. This way chosen different way to encrypt the privacy information based on user attributions according to cloud service business type. Finally, this hybrid solution was verified by the case of campus cloud environment.