A NoSQL based cached storage solution of GIS Web service

作者：Liu Jin^*; Wu Yangping; Zhuo Dan; Hu Qiping; Wang Yan; Zhang Wensheng

来源：International Journal of Digital Content Technology and Its Applications, 2012, 6(20): 268-276.

DOI：10.4156/jdcta.vol6.issue20.29

• Accessing data
• Complex data
• Concurrent tasks
• GIS data
• GIS web services
• NoSQL
• Poor performance
• Relational Database
• Relational database management systems
• Storage mechanism
• Storage solutions

One of challenges in GIS Web service is mass GIS data storage and processing. There are at least three obstacles that oppose dealing with this challenge: the mismatch between the frequent requirement of concurrent tasks for accessing data in GIS Web service and the poor performance of conventional storage mechanism such as relational databases; the insufficiency of relational databases to manage complex data types in GIS Web service; the horizontal scalability of storage for non-stop GIS Web service evolution. This paper proposes a distributed cached storage solution, as the mixture of MongoDB storage and Memcached cache, for GIS Web service. Both techniques are closely related to NoSQL that is a class of database management system identified by its non-adherence to the widely used relational database management system (RDBMS) model. A concise case that facilitates a better understanding of this work indicates its feasibility.

• 出版日期2012