Tobias Mayr

My research interest is data processing in asymmetric parallel and distributed environments.

Future computer systems will process vast amounts of complex data in parallel environments that consist of many heterogeneous components. Active storage and network components, clients and external sites contribute their data, functionality and processing power to make data processing more scalable, flexible and powerful. These highly non-uniform processing environments must be integrated to form reliable and scalable data processing systems.

My PhD work shows how new processing techniques can be used to allow parallel processing of data while adapting to the heterogeneity of the processing components. I parallelized the execution engine of  an existing object-relational database system, as a prototype for experimentation with the new parallel query processing techniques. My work demonstrates processing on asymmetric nodes in a cluster as well as the integration of external functionality on server and client sites. The underlying idea is that parallel systems must be aware of the heterogeneity of their components to process data efficiently and to fully integrate all components.

Last updated, March, 13th, 2001 - Tobias Mayr