MIRACLE   

The main goal of the MIRACLE Project is to develop an approach on a conceptual and an infrastructural level that allows energy distribution companies to balance the available supply of renewable energy sources and the current demand in ad-hoc fashion. Many Renewable Energy Sources (RES, e.g., windmills, solar panels) pose the challenge that production is dependent on external factors (wind speed and direction, amount of sunlight, etc.). Hence, available power can only be predicted but not planned, which makes it rather difficult for energy distributors to efficiently include renewable energy sources into their daily schedules.

DEXTER   

Index structures are core components of typical database management systems. While this area has been studied for a long time, many aspects need to be reconsidered in the context of modern hardware architectures. The focus of DEXTER is to design an indexing system for main-memory data that exploits emerging technologies.

Theseus   

THESEUS is a research program initiated and funded by the German Federal Ministry of Economy and Technology (BMWi) that sees its main purpose in the development of new Internet-based infrastructures and services in order to improve the accessibility and usability of knowledge available on the Internet. To this end, application-oriented basic technologies and technical standards are to be developed and tested. The expected results are novel products, tools, services, and business models for the World Wide Web as well as for the service and knowledge society of tomorrow. Special emphasis is given to semantic technologies.

GCIP   

The integration of heterogeneous data sources is one of the main challenges within the area of data engineering. Because of the numerous different integration systems, like subscription systems, FDBMS, EAI-Server, EII-Frameworks, ETL-Tools, but also workflow management systems, a model-driven approach following the MDA paradigm is advantageous. Thus, in this project we want to focus on the model-driven generation of complex integration processes. Thereby, optimization techniques for intra-system optimization as well as inter-system optimization have to be considered. On combining the model-driven generation of integration processes and the decision for the context-specific optimal integration system, the most efficient process realization could be reached.

GignoMDA - Generation of Complex Database Applications   

Database Systems are often used as persistent layer for applications. This implies that database schemas are generated out of transient programming class descriptions. The basic idea of the MDA approach generalizes this principle by providing a framework to generate program code (and database schemas) for different programming platforms. Within our GignoMDA-project we have extended classic concepts for code generation. That means, our approach provides a single point of truth describing all aspects of database applications (e.g. database schema, project documentation, . . .) with a great potential of cross-layer optimization. These new cross-layer optimization hints are a novel way for the challenging global optimization issue of multi-tier database applications.

Data Mining in SAP BI accelerator   

Disc-based database designs are suboptimal for modern computer architectures especially regarding memory access. SAP developed a google-like search engine called TREX which is designed for optimal usage of memory resources especially in distributed landscapes. TREX is able to perform fast search in unstructured and structured data.

With this capabilities, TREX is used as a high-specialized accelerator for business reports in SAP Business Intelligence, called SAP BI accelerator. The accelerator is able to perform expensive operations like aggregations on hundred of millions records in seconds.

The goals of this research project are implementations for several data mining technologies based on TREX.

Real-Time Data Warehousing   

The demand for so-called living or real-time data warehouses is increasing in many application areas such as manufacturing, event monitoring and telecommunications. In these fields, users usually expect short response times for their queries and high freshness for the requested data. However, meeting these fundamental requirements is challenging due to the high loads and the continuous flow of write-only updates and read-only queries, which may be in conflict with each other.

QStream   

The QStream project aims at developing a Quality-of-Service (QoS) - capable Data Stream Management System (DSMS). Thereby queries are evaluated on top of a real-time operating system to fullfil QoS requirements like data rate or output delay.

ADAMAS

The increasing complexity and miniaturisation of micro chip designs induce high demands for the production and data processing of photmask manufacturing. To ensure an in time and high quality mask delivery the Advanced Mask Technology Center (AMTC), SQL GmbH and the Technische Universität Dresden founded a joint project funded by the Sächsische Aufbau Bank (SAB) cofinanced by the European Funds for Regional Development (EFRE). The project members will develop advanced data infrastructure for Advance Process Control (APC) and perform research work on connected data mining methods. The focus for the Technische Universität Dresden is to perform research work on data mining for the manufacturing and engineering of high end photomasks and the integration into EIA tools.

AOS

Sampling is widely used for quick approximate query answering, statistics estimation, data stream processing, data mining, and data integration. The main advantages of summarizing large data sets using sample synopses lie in its flexibility as well as its ability to provide probabilistic error bounds. The AOS project focuses the automated selection and maintenance of such synopses for large databases.

CubeStar

CubeStar is an experimental multidimensional database system for performing efficient statistical analysis procedures on ultra large data sets. Based on the principles of modularity and scalability, the CubeStar is a typical client-server application which has great impact on the way of data analysis.

Eyes4Ears

Serval commercial and non-commercial web portals offer to search music files, which however is limited to key-word-based search on subjects like genre, artist, and so on. The aim of the VisMuR-project is to develop a music retrieval system, that allows the users to search similar pieces of music based on a query music file.

PubScribe

The PubScribe project applies database technology (e.g. mass query optimization) to subscription systems to efficiently answer standing queries, i.e. evaluating used-defined profiles.

memo.REAL

The primary goal of memo.REAL is to build up a media server which supports data independence for timed media objects together with QoS and realtime.