Heterogeneous Cloud Storage Based Platform of Chinese Traditional Folk Art Resources
Xiaobo Li, Zhongjuan Tian, Ye Wang, Guowen Ye, Zhen Ye · International Journal of Multimedia and Ubiquitous Engineering · 2017
In an attempt to preserve and protect Chinese traditional folk art resources, it is an important and necessary task to digitize and store such information.However, because there are many types of folk art data information and the way to use these data is completely different, it is not suitable to use traditional relational database as a single storage solution.In addition, as the amount of data grows exponentially, such storage solution will also lead to performance and availability issues.In this paper, we propose a novel folk art resource data storage solution which consists of two parts, i.e. the underlying storage structure and the front-end centralized control component.The underlying data storage is composed of traditional relational database, NoSQL database and distributed file system, and different data can be stored in different storage structures according to their types and characteristics.The front-end centralized control component is responsible for handling user request and retrieving relevant data from underlying data source, and users can access this platform transparently and uniformly.We demonstrate that the construction of the heterogeneous cloud storage based platform is feasible and effective, which can play an important role in the field of the inheritance and protection of folk art resources.