Memcache and MongoDB Based GIS Web Service

One of challenges in GIS Web service is mass GIS data storage and processing. This paper proposes a distributed cached storage solution, as the mixture of Mongo DB storage and Memcached cache, for GIS Web service. This cached storage solution tends to solve three obstacles: 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. A concise case indicates the feasibility of the cached storage solution.