document: 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 . We 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 . We illustrate the data denormalization process on three benchmark applications : TPC-W , RUBiS and RUBBoS . We deploy the resulting service-oriented implementation of TPC-W across an 85-node cluster and show that restructuring its data can provide at least an order of magnitude improvement in the maximum sustainable throughput compared to master-slave database replication , while preserving strong consistency and transactional properties .
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