Nowadays technologies such as mobile communication systems, traffic control systems, multimedia and simulation applications produce highly dynamic time-dependent data which are relevant for different social and business areas. Storing such data in conventional databases, which assume the objects to remain constant over the time, requires high update rates with resulting significant loss of efficiency of the database systems. In order to overcome this shortcoming, so-called spatio-temporal databases were developed which deal with both objects and queries changing their position over time.

In this lab you will have the possibility to gain insight into the area of spatio-temporal indexing structures for databases, implement different approaches and evaluate them in a real world application: simulation of particle collision in the fuel injection process.