An Efficient Astronomical Cross-matching model Based on MapReduce Mechanism.

In order to perform an effective cross-matching computation on an enormous amount of text-file-based astronomical observation data, this study proposes an algorithm based on the MapReduce distributed architecture. Such an approach not only greatly enhances the computation speed, but also provides a data structure for storing the computation results. It provides a satisfactory solution not only for cross-matching the entirety of the data, but also for simply updating the changes.