Efficient mid-query re-optimization of sub-optimal query execution plans
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Cost-based query scrambling for initial delays
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Toward autonomic computing with DB2 universal database
ACM SIGMOD Record
The Vision of Autonomic Computing
Computer
Information Integration Using Logical Views
ICDT '97 Proceedings of the 6th International Conference on Database Theory
Rethinking Database System Architecture: Towards a Self-Tuning RISC-Style Database System
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Adaptive Query Processing: A Survey
BNCOD 19 Proceedings of the 19th British National Conference on Databases: Advances in Databases
Information Integration: Conceptual Modeling and Reasoning Support
COOPIS '98 Proceedings of the 3rd IFCIS International Conference on Cooperative Information Systems
On the Performance of Competitive Algorithms in Practice
Developments from a June 1996 seminar on Online algorithms: the state of the art
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Today's DBMSs: How autonomic are they?
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
Feedback Control of Computing Systems
Feedback Control of Computing Systems
Robust query processing through progressive optimization
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
LEO: An autonomic query optimizer for DB2
IBM Systems Journal
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Utility Functions in Autonomic Systems
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Parallel querying with non-dedicated computers
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Principles of dataspace systems
Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
XANDY: a scalable change detection technique for ordered XML documents using relational databases
Data & Knowledge Engineering - Special issue: WIDM 2004
Achieving Self-Management via Utility Functions
IEEE Internet Computing
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
DB2 design advisor: integrated automatic physical database design
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Autonomic Query Parallelization using Non-dedicated Computers: An Evaluation of Adaptivity Options
ICAC '06 Proceedings of the 2006 IEEE International Conference on Autonomic Computing
Adapting to changing resource performance in grid query processing
DMG 2005 Proceedings of the First VLDB conference on Data Management in Grids
Automatic annotation of web services based on workflow definitions
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
A foundation for the replacement of pipelined physical join operators in adaptive query processing
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
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Traditionally, database management systems (DBMSs) have been associated with high-cost, high-quality functionalities. That is, powerful capabilities are provided, but only in response to careful design, procurement, deployment and administration. This has been very successful in many contexts, but in an environment in which data is available in increasing quantities under the management of a growing collection of applications, and where effective use of available data often provides a competitive edge, there is a requirement for various of the benefits of a comprehensive data management infrastructure to be made available with rather fewer of the costs. If this requirement is to be met, automation will need to be deployed much more widely and systematically in data management platforms. This paper reviews recent results on autonomic data management, makes a case that current practice presents significant opportunities for further development, and argues that comprehensive support for automation should be central to future data management infrastructures.