tailieunhanh - Relational Cloud: A Database-as-a-Service for the Cloud

Oracle Exadata Database Machine provides extreme performance for both data warehousing and OLTP applications, making it the ideal platform for consolidating on private clouds. It is a complete package of servers, storage, networking, and software that is massively scalable, secure, and redundant. With Oracle Exadata, customers can reduce IT costs through consolidation, store up to ten times more data, improve performance of all applications, deliver a faster time-to- market by eliminating systems integration trial and error, and make better business decisions in real time. At the heart of every Oracle Exadata Database Machine are Oracle Exadata Storage Servers, which combine smart. | Relational Cloud A Database-as-a-Service for the Cloud Carlo Curino curino@ Eugene Wu eugenewu@ Evan P C. Jones evanj@ Sam Madden madden@ Raluca Ada Popa ralucap@ Hari Balakrishnan hari@ Nirmesh Malviya nirmesh@ Nickolai Zeldovich nickolai@ ABSTRACT This paper introduces a new transactional database-as-a-service DBaaS called Relational Cloud. A DBaaS promises to move much of the operational burden of provisioning configuration scaling performance tuning backup privacy and access control from the database users to the service operator offering lower overall costs to users. Early DBaaS efforts include Amazon RDS and Microsoft SQL Azure which are promising in terms of establishing the market need for such a service but which do not address three important challenges efficient multi-tenancy elastic scalability and database privacy. We argue that these three challenges must be overcome before outsourcing database software and management becomes attractive to many users and cost-effective for service providers. The key technical features of Relational Cloud include 1 a workload-aware approach to multi-tenancy that identifies the workloads that can be co-located on a database server achieving higher consolidation and better performance than existing approaches 2 the use of a graph-based data partitioning algorithm to achieve near-linear elastic scale-out even for complex transactional workloads and 3 an adjustable security scheme that enables SQL queries to run over encrypted data including ordering operations aggregates and joins. An underlying theme in the design of the components of Relational Cloud is the notion of workload awareness by monitoring query patterns and data accesses the system obtains information useful for various optimization and security functions reducing the configuration effort for users and operators. 1. INTRODUCTION Relational database management systems DBMSs are an

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