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An Implementation of High Performance Web-Based GIS on Parallel Cluster using MPI

机译:基于MPI的并行集群上基于Web的高性能GIS实现

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The use of Web-Based Geographic Information System (Web-Based GIS) with spatial data has become popular and has played an important role in managing resources of humans. However, there are limitations on using this system with a typical large size of GIS datasets and complex calculation of GIS Junctions. In this paper, we propose a new version of Web-Based GIS by applying the parallel processing technique to improve the efficiency of data processing. MapServer, which is an open source Web-Based GIS, is used as an original program. Moreover, to develop the parallel processing technique, MPI is applied as a standard library. By combining the parallel processing technique and MapServer, the new system called Parallel MapServer has increasing efficiency of data processing with less than or equal to 12 processors.
机译:基于Web的地理信息系统(基于Web的GIS)与空间数据的结合已变得流行,并在管理人类资源方面发挥了重要作用。但是,在具有典型的大型GIS数据集和复杂的GIS交汇点的情况下使用此系统存在局限性。在本文中,我们通过应用并行处理技术来提出新版本的基于Web的GIS,以提高数据处理的效率。 MapServer是一个基于Web的开源GIS,被用作原始程序。此外,为了开发并行处理技术,MPI被用作标准库。通过将并行处理技术与MapServer相结合,称为Parallel MapServer的新系统在少于或等于12个处理器的情况下提高了数据处理效率。

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