A Geospatial Orchestration Framework on Cloud for Processing User Queries
Jaydeep Das, Arindam Das-Gupta, Soumya K. Ghosh, Rajkumar Buyya · 2016
The demand for computing resources to process the geographical information (GI) queries has been increased drastically. The query helps the users to get the variety of information to serve their needs. Resolving the spatial queries, huge number of heterogeneous data sources along with different computing services are involved. Getting appropriate results within a specific time bound, orchestration among those data sources and web services are required. These services are available on the web and require different resource specifications in order to resolve a geospatial query. A cloud infrastructure has been utilized for scalable resource allocation. An orchestration engine has been developed to access the geospatial resources according to query requirement. In this paper, we have proposed and developed geographical data query processing framework which orchestrates spatial services according to user query in cloud environment. The empirical experimentation shows the efficiency of the proposed framework to resolve spatial queries in timely manner.