Research On Key Technology Of Storage Model And Storage System In Solar Wind Simulation

The solar wind is a fast-moving stream of charged particles injected and accelerated from the solar corona layer. The rapidly changed solar wind has a serious impact on the Earth’s space environment. Solar wind has a close relationship with many physical phenomena of the Sun and the Earth. The solar wind could be considered as a bond between the earth and the solar space. Through solar wind, the earth receives the solar energy, electromagnetic radiation, and so on.It is significant to research on the solar wind in the modern space science and technology.The solar wind simulation system is a frontier cross subject which involves the Earth exploration and information technology, atmospheric physics, simulation science, data storage technology and computer network technology. The research aims to study the solar wind, to establish the solar wind simulation system and the early warning and monitoring systems, which might be used to reduce disasters resulting from the solar wind. The research in the dissertation is a sub-task of solar wind system simulation project. This thesis is a part of the solar wind simulation system. It aims to solve the data storage problem in the solar wind simulation system. A data storage architecture model is designed. It solves the large scale data storage problem from the original simulation to the final simulation result.In order to design the data storage architecture model, the characteristics of the solar wind particles and the technology of large scale data storage are studied. Through investigating the key technologies of cloud storage and analyzing particles data structure, solar wind particle data storage model SWDSM was designed. In order to verify the model, a solar wind storage subsystem model SWDCS was implemented. The security access mechanism of cloud storage is also studied and the solar wind system simulation has been improved.Four innovations are shown in the areas:(1)A data storage architecture model is proposedData storage is the basis of the data processing and analyzing. Data management and the performance of storage is a big challenge in the large scale data processing. The method of data storage based on the cloud computing could deal with the problem emerged in the large scale data processing. A data storage architecture model of the solar wind simulation system is proposed(2) A solar wind particle data storage model SWDSM is designedConsidering the characteristics of solar wind particles, the strategy of data partitioning and storing, the organization of data, the data access algorithm, and the strategy of data replication, the solar wind particle data storage model SWDSM was designed based on the Hadoop cloud platform. With regard to the strategy of data duplication, the HDFS strategy is studied and improved.(3) A solar wind storage subsystem SWDCS is implementedOn the basis of the solar wind particles data storage model, we design and implement solar wind cloud storage subsystem which consists of system architecture, service structure, deployment structure, and then partly implement system and test results. In order to achieve a distributed and scalable system, the cloud storage system architecture is divided into three levels and two-level architecture. SWDCS only provides the SaaS level service, which is also divided into three levels from the bottom upwards.(4) A security token and joint authentication algorithm is givenIn order to solve data transfer and joint verification problems under the stateless condition, we put forward and design a digital elliptic curve cryptography-based security token authentication system and its model by comparing mature domestic and international asymmetric key algorithms, WIF joint verification and digital elliptic curve signature. Our model has been implemented, and its correctness and feasibility has been verified. It provides a joint verification method for accessing distributed storage data.