Optimizing ETL Processes in Data Warehouses
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Query optimization over web services
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
An approach to optimize data processing in business processes
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Cost-Based Vectorization of Instance-Based Integration Processes
ADBIS '09 Proceedings of the 13th East European Conference on Advances in Databases and Information Systems
Cost-based vectorization of instance-based integration processes
Information Systems
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The efficient execution of integration processes between distributed, heterogeneous data sources and applications is a challenging research area of data management. These integration processes are an abstraction for workflow-based integration tasks, used in EAI servers and WfMS. The major problem are significant workload changes during runtime. The performance of integration processes strongly depends on those dynamic workload characteristics, and hence workload-based optimization is important. However, existing approaches of workflow optimization only address the rule-based optimization and disregard changing workload characteristics. To overcome the problem of inefficient process execution in the presence of workload shifts, here, we present an approach for the workload-based optimization of instance-based integration processes and show that significant execution time reductions are possible.