Keynote Title: Issues in Combined Static and Dynamic Data Management
Keynote Lecturer: Dr. Daniela Nicklas
Keynote Chair: Dr. Alfred Inselberg
Presented on: 25-07-2012
Abstract: With the upcoming widespread availability of sensors, more and more applications depend on physical phenomena. Up-to-date real world information is embedded into business processes, in production environments, or in mobile applications, so that such context-aware applications can adapt their behavior to the current situation of their user or environment. Another example are so-called SCADA systems (supervisory control and data acquisition), where complex installations (e.g., energy grids or power plants) are monitored and controlled. In general, data can be managed either by a database management system (DBMS), or directly by the application. The first approach has many advantages: information demands can be declared by queries and kept separately from the application. When the information demand changes, only the query has to be changed (which dramatically decreases software maintenance costs). In addition, a DBMS can optimize the query execution, so that the requested data is retrieved efficiently from the systems. However, if applications depend on real-world data, the amount of data, the update rate, and low latency requirements often prevent the storage in a DBMS. Thus, the data streams from the sensors are managed directly by applications, with all its drawbacks. The goal of data stream management is to provide the same flexibility and data independence for data streams as for stored data. However, despite of performance advantages, DSMS represent no general solution since applications often require the persistent storage of continuous query results as well as a combined processing of current and historical stream data. The performance of integrated database methods, on the other hand, is limited due to the expensive data management of traditional DBMS. A naïve solution would be to federate or integrate both types of systems. However, a closer look shows that such a federation raises many open questions.
Presented at the following Conference: DATA, International conference on DATA Technologies and Applications
July , 2012
Conference Website: dataconference.org/