Research On GIS Raster Data Storage And Algorithm Based Oncloud Computing

Cloud computing technology has become the hot topic at home and abroad in the field of IT and its applications. As a new computing model, cloud computing has changed data storage, data sharing and calculation, it faces the data level is a large data areas. On the other hand, for the purposes of GIS field, cloud computing is still in the exploratory stage, there are many valuable research and application of GIS functions under the direction of big data cloud computing environments. This paper introduces the concept of cloud computing to analyze the benefits of cloud computing in the spatial analysis and spatial expression database functions discussed between data communications, data storage and data processing and analysis of the relationship between cloud computing and GIS systems, and made three species-based GIS system architecture of cloud computing. The main contents are as follows1. Composition and architecture of cloud computing system based on GIS: Discuss the definition of cloud computing, putting forward the establishment of GIS system based on cloud computing favorable conditions. Comparing the cloud computing with the traditional high-performance computing technology comparison and analyzing their advantages and disadvantages. Proposed cloud computing applications in the direction of the GIS, also proposed three GIS system architecture based on cloud computing, that is cloud-based GIS public cloud, private cloud and hybrid cloud.2. Cloud computing algorithm compatible raster GIS feature distance algorithm: By designing a minimum Euclidean distance algorithm to test the feasibility of GIS spatial algorithms ported to a distributed computer system. Its purpose is to solve:(1) the traditional independent minimum Euclidean distance algorithm limitations;(2) the distance algorithm based distributed computing advantage;(3) conventional space parallel algorithm challenges and feasibility of solutions. Based on this solution, not only contributes to a cloud-compatible minimum Euclidean distance algorithm will also help develop other space cloud-based GIS algorithms.3. grid-based GIS system for distributed cloud storage architecture: Most of cloud computing systems using distributed computing is compatible with non-relational distributed database management system(NDDBMS), rather than the traditional relational database management system(RDBMS). This paper presents a new type of non-relational data storage mode GIS –Hbase would solve many problems of data storage. Focus on data storage model in raster GIS data model HBase, indexing and data storage strategies of some of the optimization program.