Spatial coding-based approach for partitioning big spatial data in Hadoop

    Computers & Geosciences, Volume 106, 2017, Pages 60-67.

    Cited by: 6|Bibtex|Views9|Links
    EI

    Abstract:

    Abstract Spatial data partitioning (SDP) plays a powerful role in distributed storage and parallel computing for spatial data. However, due to skew distribution of spatial data and varying volume of spatial vector objects, it leads to a significant challenge to ensure both optimal performance of spatial operation and data balance in the...More

    Code:

    Data:

    Your rating :
    0

     

    Tags
    Comments