Memcache and MongoDB Based GIS Web Service

Author

Jinghong Yang ; Wuyang Ping ; Lin Liu ; Qiping Hu

Author_Institution

China Oilfield Services Ltd., China

fYear

2012

fDate

1-3 Nov. 2012

Firstpage

126

Lastpage

129

Abstract

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.

Keywords

Web services; cache storage; geographic information systems; relational databases; Memcache based GIS Web service; MongoDB based GIS Web service; concurrent tasks; distributed cached storage solution; mass GIS data processing; mass GIS data storage; relational database insufficiency; storage mechanism; Cache storage; Encyclopedias; Geographic information systems; Relational databases; Web services; Cached Storage; GIS Web Service; Memcache; MongoDB;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud and Green Computing (CGC), 2012 Second International Conference on

Conference_Location

Xiangtan

Print_ISBN

978-1-4673-3027-5

Type

conf

DOI

10.1109/CGC.2012.19

Filename

6382807