Boosting Geographic Information System’s Performance Using In-Memory Data Grid

A typical Geographic Information System(GIS) is informationsystem that integrates, stores, edits, analyzes, shares anddisplays geographic information for effective decision making.The focus here is to refine the storing and retrievingcapabilities of any GIS. GIS application have a very highperformance and scalability requirement, such as queryresponse time of less than 3 seconds, 120000 customer sessionsper hour and 100000 data addition/updates per day. Also anideal GIS application always deal with high concurrent load,frequent database access for mostly read only data, and nonlineargrowth of mostly read only data over period of time.These all are the factors which lead to performance impact inthe application. This research proceeds to understand how theIn-Memory Data-Grid solution is better than other solutionsand how can it be leveraged to implement a very highperforming and highly scalable GIS applications.