A DDA-Based Cloud Computing System

The paper proposes an innovative cloud computing simulation system architecture, which integrates the core principles and techniques of Discontinuous Deformation Analysis (DDA), and aims to realize dynamic scheduling and optimal allocation of largescale simulation computational resources to improve the simulation efficiency, as well as to rapidly deploy and scale up according to the actual needs to meet the demands of different scales of simulation. DDA is a numerical analysis method proposed by Dr. Gen-hua Shi, a Chinese-American scientist, in 1988 in the field of geo-technical engineering to simulate discontinuous deformation behavior of rock bodies. In this paper, the unique advantages of the DDA method are introduced to the field of cloud computing and its potential for solving the problems of resource discontinuity and large deformation in cloud computing systems is explored. With the help of DDA theory, the following are investigated through algorithm derivation and programming: the development of DDA parallel programs based on cloud computing platforms; the computational framework and dynamic parallel job management as well as the job scheduling methods for parallel execution in cloud computing environments; the load balancing strategy of the system in multi-tasking scenarios in cloud computing environments; and the debugging and validation of the programs using various methods. Finally, fast and accurate 3D rendering simulations can be realized to promote the application of cloud computing in geotechnical engineering.