Adapting microsoft SQL server for cloud computing

Autor:	Nishant V. Dani, Istvan Cseri, Ajay Kalhan, Lev Novik, Gopal Kakivaya, David B. Lomet, Philip A. Bernstein, Nigel R. Ellis, Tomas Talius, Ramesh Manne
Rok vydání:	2011
Předmět:	Autocommit SQL Computer science Relational database Data_MISCELLANEOUS Cloud computing Commit computer.software_genre Language Integrated Query Data modeling Relational database management system SQL injection In-Memory Processing Server Query by Example Stored procedure computer.programming_language Database server Database business.industry Materialized view InformationSystems_DATABASEMANAGEMENT PL/SQL Data Transformation Services ArcGIS Server Identity column User-defined function Open Database Connectivity Scalability Systems architecture Operating system business Log shipping computer Business Intelligence Markup Language
Zdroj:	ICDE
DOI:	10.1109/icde.2011.5767935
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e72f68a1bff9788c32814f5290b4af41 https://doi.org/10.1109/icde.2011.5767935 Zobrazit plný text záznamu