Service-Oriented Data Denormalization for Scalable Web Applications

Many techniques have been proposed to scale web applications. However, the data interdependencies between the database queries and transactions issued by the applications limit their efficiency. The authors claim that major scalability improvements can be gained by restructuring the web application data into multiple independent data services with exclusive access to their private data store. While this restructuring does not provide performance gains by itself, the implied simplification of each database workload allows a much more efficient use of classical techniques. They illustrate the data denormalization process on three benchmark applications: TPC-W, RUBiS and RUBBoS.