Service-Oriented Data Denormalization for Scalable Web Applications

Service-Oriented Data Denormalization for Scalable Web Applications (2008)

by Zhou Wei , Chi-Hung Chi, et al.

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Datum	Value	Source
TITLE	Service-Oriented Data Denormalization for Scalable Web Applications	user correction
AUTHOR NAME	Zhou Wei	user correction
AUTHOR AFFIL	Tsinghua University	user correction
AUTHOR ADDR	Beijing, China	user correction
AUTHOR NAME	Chi-Hung Chi, et al.	user correction
AUTHOR AFFIL	Tsinghua University	user correction
AUTHOR ADDR	Beijing, China	user correction
ABSTRACT	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.	SVM HeaderParse 0.2
YEAR	2008	user correction
CITATIONS	35 found	ParsCit 1.0