Title :
Streaming data integration: Challenges and opportunities
Author_Institution :
ETH Zurich, Zurich, Switzerland
Abstract :
In this position paper, we motivate the need for streaming data integration in three main forms including across multiple streaming data sources, over multiple stream processing engine instances, and between stream processing engines and traditional database systems. We argue that this need presents a broad range of challenges and opportunities for new research. We provide an overview of the young state of the art in this area and further discuss a selected set of concrete research topics that are currently under investigation within the scope of our MaxStream federated stream processing project at ETH Zurich.
Keywords :
database management systems; MaxStream; SPE-DBMS integration; SPE-SPE integration; stream processing engine; streaming data source integration; traditional database system; Concrete; Data models; Data processing; Database systems; Engines; Feeds; Joining processes; Monitoring; Pipelines; Turning;
Conference_Titel :
Data Engineering Workshops (ICDEW), 2010 IEEE 26th International Conference on
Conference_Location :
Long Beach, CA
Print_ISBN :
978-1-4244-6522-4
Electronic_ISBN :
978-1-4244-6521-7
DOI :
10.1109/ICDEW.2010.5452751