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2011 IEEE 27th International Conference on Data Engineering
Adapting microsoft SQL server for cloud computing
Hannover, Germany
April 11-April 16
ISBN: 978-1-4244-8959-6
Philip A. Bernstein, Microsoft Corporation, One Microsoft Way, Redmond, WA, 98052-6399, U.S.A.
Istvan Cseri, Microsoft Corporation, One Microsoft Way, Redmond, WA, 98052-6399, U.S.A.
Nishant Dani, Microsoft Corporation, One Microsoft Way, Redmond, WA, 98052-6399, U.S.A.
Nigel Ellis, Microsoft Corporation, One Microsoft Way, Redmond, WA, 98052-6399, U.S.A.
Ajay Kalhan, Microsoft Corporation, One Microsoft Way, Redmond, WA, 98052-6399, U.S.A.
Gopal Kakivaya, Microsoft Corporation, One Microsoft Way, Redmond, WA, 98052-6399, U.S.A.
David B. Lomet, Microsoft Corporation, One Microsoft Way, Redmond, WA, 98052-6399, U.S.A.
Ramesh Manne, Microsoft Corporation, One Microsoft Way, Redmond, WA, 98052-6399, U.S.A.
Lev Novik, Microsoft Corporation, One Microsoft Way, Redmond, WA, 98052-6399, U.S.A.
Tomas Talius, Microsoft Corporation, One Microsoft Way, Redmond, WA, 98052-6399, U.S.A.
Cloud SQL Server is a relational database system designed to scale-out to cloud computing workloads. It uses Microsoft SQL Server as its core. To scale out, it uses a partitioned database on a shared-nothing system architecture. Transactions are constrained to execute on one partition, to avoid the need for two-phase commit. The database is replicated for high availability using a custom primary-copy replication scheme. It currently serves as the storage engine for Microsoft's Exchange Hosted Archive and SQL Azure.
Citation:
Philip A. Bernstein, Istvan Cseri, Nishant Dani, Nigel Ellis, Ajay Kalhan, Gopal Kakivaya, David B. Lomet, Ramesh Manne, Lev Novik, Tomas Talius, "Adapting microsoft SQL server for cloud computing," icde, pp.1255-1263, 2011 IEEE 27th International Conference on Data Engineering, 2011
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