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Academic Journal of Computing & Information Science, 2023, 6(7); doi: 10.25236/AJCIS.2023.060721.

Distributed Data Consistency Algorithm in Database Based on Language Recognition


Ting Chen, Haiyun Wang

Corresponding Author:
Ting Chen

Xi'an Siyuan University, Xi'an, Shaanxi, 710038, China


With the development and popularization of computer technology, people's dependence on computers is becoming stronger and their requirements for computers are also increasing. Traditional independent computer systems can no longer meet people's needs in terms of functionality and performance. Distributed systems are systems where multiple computer systems are connected through a network and are becoming increasingly common. In the field of databases, distributed database systems have become an important research field. Distributed database systems are becoming increasingly popular because they meet the needs of current information system applications and meet the popular management ideas and methods in today's business organizations. At the same time, the industry has also begun to actively research and develop distributed database systems. In distributed databases, data redundancy is achieved by copying the same data block to multiple nodes for application and security reasons. If the database platform of a distributed system is not necessarily the same on all nodes, the problem to be solved is how to maintain data consistency with minimal duplication throughout the entire database system.


Database, Distributed Data, Consistency Algorithm, Language Recognition

Cite This Paper

Ting Chen, Haiyun Wang. Distributed Data Consistency Algorithm in Database Based on Language Recognition. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 7: 160-167. https://doi.org/10.25236/AJCIS.2023.060721.


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