Titlebook: High Performance Computing for Geospatial Applications; Wenwu Tang,Shaowen Wang Book 2020 Springer Nature Switzerland AG 2020 High perform

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Integration of Web GIS with High-Performance Computing: A Container-Based Cloud Computing Approachequests are distributed using a load balancing approach to multiple Web GIS servers through cloud computing based technologies. Through experiments measuring real-time user request performance of multiple Web GIS containers, we demonstrate significant computing performance benefits in response time

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High-Performance Computing in Urban Modelingn several identified modeling application categories. To support our review and discussions, a case study of a general urban system model and its implementation within high-performance computing environments is presented to demonstrate the process of parallelization for urban models.

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High Performance Computing for Geospatial Applications: A Retrospective Vieworial comparisons. This complexity has motivated the application of high performance computing (HPC) to a variety of geospatial problems. In many instances, HPC assumes even greater importance because complexity interacts with rapidly growing volumes of geospatial information to further impede analy

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Geospatial Big Data Handling with High Performance Computing: Current Approaches and Future Directiosors such as mobile apps, the global positioning system (GPS), satellites, environmental observations, and social media. Efficiently collecting, managing, storing, and analyzing geospatial data streams provide unprecedented opportunities for business, science, and engineering. However, handling the