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Πλοήγηση ανά Συγγραφέα "García-García F., Corral A., Iribarne L., Vassilakopoulos M."

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    • Distance range queries in spatialhadoop 

      García-García F., Corral A., Iribarne L., Vassilakopoulos M. (2016)
      Efficient processing of Distance Range Queries (DRQs) is of great importance in spatial databases due to the wide area of applications. This type of spatial query is characterized by a distance range over one or two datasets. ...

    • Enhancing Sedona (formerly GeoSpark) with Efficient k Nearest Neighbor Join Processing 

      García-García F., Corral A., Iribarne L., Vassilakopoulos M. (2021)
      Sedona (formerly GeoSpark) is an in-memory cluster computing system for processing large-scale spatial data, which extends the core of Apache Spark to support spatial datatypes, partitioning techniques, indexes, and ...

    • Improving Distance-Join Query processing with Voronoi-Diagram based partitioning in SpatialHadoop 

      García-García F., Corral A., Iribarne L., Vassilakopoulos M. (2020)
      SpatialHadoop is an extended MapReduce framework supporting global indexing techniques that partition spatial datasets across several machines and improve spatial query processing performance compared to traditional Hadoop ...

    • MRSLICE: Efficient RkNN Query Processing in SpatialHadoop 

      García-García F., Corral A., Iribarne L., Vassilakopoulos M. (2019)
      Nowadays, with the continuously increasing volume of spatial data, it is difficult to execute spatial queries efficiently in spatial data-intensive applications, because of the limited computational capability and storage ...

    • RkNN query processing in distributed spatial infrastructures: A performance study 

      García-García F., Corral A., Iribarne L., Vassilakopoulos M. (2017)
      The Reverse k-Nearest Neighbor (RkNN) problem, i.e. finding all objects in a dataset that have a given query point among their corresponding k-nearest neighbors, has received increasing attention in the past years. RkNN ...

    • Voronoi-diagram based partitioning for distance join query processing in spatialhadoop 

      García-García F., Corral A., Iribarne L., Vassilakopoulos M. (2018)
      SpatialHadoop is an extended MapReduce framework supporting global indexing techniques that partition spatial data across several machines and improve query processing performance compared to traditional Hadoop systems. ...