Definition
One of the main uses of data replication is to increase the scalability of databases. The idea is to have a cluster (of possibly inexpensive) nodes, to replicate the data across the nodes, and then distribute the load among them. In order to be scalable, the more nodes are added to the system, the higher the achievable throughput should be. The scale reached today is on tens of nodes (i.e., below 100 nodes). Communication is not an issue since CPU and IO overheads are dominant. The approach in the last years has been to learn from the traditional approaches but change some fundamentals so that the limitations of these traditional approaches are avoided.
In order to attain scalability each transaction should not be fully processed by every replica. This depends on how transactions are mapped to replicas. For read only transactions, it is easy to avoid redundant processing since they can be executed at any...
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Jiménez-Peris, R., Patiño-Martínez, M. (2009). Replication for Scalability. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_314
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DOI: https://doi.org/10.1007/978-0-387-39940-9_314
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