Title :
Adapting microsoft SQL server for cloud computing
Author :
Bernstein, Philip A. ; Cseri, Istvan ; Dani, Nishant ; Ellis, Nigel ; Kalhan, Ajay ; Kakivaya, Gopal ; Lomet, David B. ; Manne, Ramesh ; Novik, Lev ; Talius, Tomas
Author_Institution :
Microsoft Corp., Redmond, WA, USA
Abstract :
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.
Keywords :
SQL; cloud computing; relational databases; replicated databases; software architecture; Microsoft Exchange Hosted Archive; Microsoft SQL server; SQL Azure; cloud SQL server; cloud computing; custom primary-copy replication scheme; relational database system; shared-nothing system architecture; storage engine; Availability; Data models; Fabrics; Protocols; Relational databases; Servers;
Conference_Titel :
Data Engineering (ICDE), 2011 IEEE 27th International Conference on
Conference_Location :
Hannover
Print_ISBN :
978-1-4244-8959-6
Electronic_ISBN :
1063-6382
DOI :
10.1109/ICDE.2011.5767935
