The application of high-speed railway data, which is an important component of China's transportation science data sharing, has embodied the typical characteristics of data-intensive computing. A reasonable and effective data placement strategy is needed to deploy and execute data-intensive applications in the cloud computing environment. Study results of current data placement approaches have been analyzed and compared in this paper. Combining the semi-definite programming algorithm with the dynamic interval mapping algorithm, a hierarchical structure data placement strategy is proposed. The semi-definite programming algorithm is suitable for the placement of files with various replications, ensuring that different replications of a file are placed on different storage devices. And the dynamic interval mapping algorithm could guarantee better self-adaptability of the data storage system. It has been proved both by theoretical analysis and experiment demonstration that a hierarchical data placement strategy could guarantee the self-adaptability, data reliability and high-speed data access for large-scale networks.
Track geometry deformation lead to dangerous of train driving, endangering railway transport. It is the prerequisite of developing a reasonable plan of track maintenance and repair that find out the occurrence of track geometry deformation and the law of development. It is also one of the core works of railway's maintenance and repair. In this paper, we analyze detect data of railway track use time series analysis, discovery the track deformation production, make a thorough inquiry to find out the trend of deformation occurrence and forecast the status of the track geometry. The results show that there is higher accuracy of the forecasting, and it can be used to guide the conservation of railway track.
Data platform of data sharing and service provide technical support for high-speed railway transportation organization, it provide data parameter and data support for high-speed railway operation management, and it plays an important role in promoting national economic development. In this paper, the metadata theory is used for data storage, data cataloging, data retrieval and data discovery in the management of the Beijing-Shanghai high-speed railway transportation equipment, analyze and propose key technologies of the establishment of data sharing platform based on metadata management of high-speed railway transportation equipment, correlation analysis is made and the result of analysis indicates that data platform can greatly improve the utilization and ability to obtain high-speed railway transportation equipment data. It can also improve the ability to support organizational decision-making of high-speed railway transportation.
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