Abstract
Data replication between servers is a critical and important step to share, or can be saved, the data between multiple remote sites in a distributed database. Data replication is used to replicate data to remote sites, improve system performance data access and reduce the connection time to the database.
This paper presents a new algorithm for dynamic data replication in distributed databases. The algorithm is adaptive in the sense that changes the schema objects then replicates these objects in the central scheme.
In this technique, using the strengths of communication between mobile agents, this communication can facilitate extraction, reconstruction and replication of schemes from remote sites to the central site. We show that the algorithm can be combined with the mechanisms of the distributed database management systems, because the performance of the algorithm is analyzed theoretically and experimentally.
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Gherabi, N. (2021). New Method for Data Replication and Reconstruction in Distributed Databases. In: Gherabi, N., Kacprzyk, J. (eds) Intelligent Systems in Big Data, Semantic Web and Machine Learning. Advances in Intelligent Systems and Computing, vol 1344. Springer, Cham. https://doi.org/10.1007/978-3-030-72588-4_5
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DOI: https://doi.org/10.1007/978-3-030-72588-4_5
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