Showing 3 open source projects for "cluster computing"

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    Apache Sedona

    Apache Sedona

    Cluster computing framework for processing large-scale geospatial data

    Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive query workloads. ...
    Downloads: 1 This Week
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  • 2
    JCuckoo is the project aimed at creating a simple and universal platform for distributed computing and object migration in Java. JCuckoo will enable creating both small-scale (cluster-like) networks and wide-area (even worldwide) computing.
    Downloads: 0 This Week
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  • 3
    The software provides a means to form a simple Java cluster. It can be also viewed as a parallel computing library in Java. The project is based on the following <a href='http://www-106.ibm.com/developerworks/java/library/j-super.html'>article</a>
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