The grid database tries to store and scatter data over a wide geographical area in order to create a structure for storing data across the lattice environment in a distributed and heterogeneous manner. Due to the large amount of data, transaction processing in such an e More
The grid database tries to store and scatter data over a wide geographical area in order to create a structure for storing data across the lattice environment in a distributed and heterogeneous manner. Due to the large amount of data, transaction processing in such an environment is very complex and time consuming. Obviously, using queries without optimization will greatly reduce the efficiency of transactions in this database, while using appropriate optimization algorithms can greatly increase efficiency. Many algorithms have been proposed to optimize queries, but due to the different network environments, different optimization algorithms are needed. This paper presents an algorithm that is consistent with the structure of lattice computing and works well in lattice database systems with high data volumes.
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