Fundamentals of queueing theory (2nd ed.).
Fundamentals of queueing theory (2nd ed.).
View maintenance in a warehousing environment
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Efficient resumption of interrupted warehouse loads
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
AJAX: an extensible data cleaning tool
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Continuous queries over data streams
ACM SIGMOD Record
Performance Issues in Incremental Warehouse Maintenance
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Potter's Wheel: An Interactive Data Cleaning System
Proceedings of the 27th International Conference on Very Large Data Bases
Deriving Production Rules for Incremental View Maintenance
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
Efficient Snapshot Differential Algorithms for Data Warehousing
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Lineage tracing for general data warehouse transformations
The VLDB Journal — The International Journal on Very Large Data Bases
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
Queueing analysis of relational operators for continuous data streams
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Incremental maintenance of aggregate and outerjoin expressions
Information Systems
Web Services: Concepts, Architectures and Applications
Web Services: Concepts, Architectures and Applications
Journal of Systems and Software
Real-time data warehouse loading methodology
IDEAS '08 Proceedings of the 2008 international symposium on Database engineering & applications
Optimizing data warehouse loading procedures for enabling useful-time data warehousing
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
R-MESHJOIN for near-real-time data warehousing
DOLAP '10 Proceedings of the ACM 13th international workshop on Data warehousing and OLAP
X-HYBRIDJOIN for near-real-time data warehousing
BNCOD'11 Proceedings of the 28th British national conference on Advances in databases
Resource optimization for processing of stream data in data warehouse environment
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
A lightweight stream-based join with limited resource consumption
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
HYBRIDJOIN for Near-Real-Time Data Warehousing
International Journal of Data Warehousing and Mining
Object Migration Tool for Data Warehouses
International Journal of Strategic Information Technology and Applications
Active XML-based Web data integration
Information Systems Frontiers
| Hi-index | 0.00 |
Traditionally, the refreshment of data warehouses has been performed in an off-line fashion. Active Data Warehousing refers to a new trend where data warehouses are updated as frequently as possible, to accommodate the high demands of users for fresh data. In this paper, we propose a framework for the implementation of active data warehousing, with the following goals: (a) minimal changes in the software configuration of the source, (b) minimal overhead for the source due to the active nature of data propagation, (c) the possibility of smoothly regulating the overall configuration of the environment in a principled way. In our framework, we have implemented ETL activities over queue networks and employ queue theory for the prediction of the performance and the tuning of the operation of the overall refreshment process. Due to the performance overheads incurred, we explore different architectural choices for this task and discuss the issues that arise for each of them.