The mission of the Databases and Distributed Systems Group is to develop new solutions for the integrated management of data, information and knowledge in highly distributed environments.
Joint Research Projects
At DVS, research is currently undertaken in the context of the following research programmes and projects:
In today’s cyberphysical systems streams of heterogeneous events from different domains and their associated data are continuously produced by sensors and embedded systems and provide real time information on many operational entities. These events can be combined and more abstract and application relevant events can be derived from them. For example, knowing the GPS position of a truck and the traffic conditions ahead, we can derive a complex event that tells us that the truck will arrive two hours late at its destination. (more...)
The peer-to-peer paradigm has proved itself as a powerful approach for large-scale distributed systems. The construction of reliable and high-performance overlay networks is a young but fast moving research area. Our research focuses on the efficient management of data in and the quality of service in highly-dynamic and public peer-to-peer networks. (more...)
Modern E-Business applications are typically based on highly distributed, multi-tiered architectures comprising multiple components deployed in a heterogeneous environment. The inherent complexity of the latter makes it extremely difficult for system developers to estimate the size and capacity of the deployment environment needed to guarantee that Service Level Agreements (SLAs) are met. (more...)
The platforms of tomorrow will be highly decentralized and distributed over a multitude of different devices that can be dynamically networked and will interact in an event-driven mode. This requires a new generation of middleware and components that can function and exchange data and information in this highly dynamic environment. We mainly focus on Pervasive Computing, Ambient Intelligence, Grid Computing and Wireless Sensor Networks (WSN). (more...)
The architecture and algorithms of database systems and data-intensive systems in general have been built around the properties of existing hardware technologies. Many basic design and algorithmic assumptions have been made to efficiently use the strengths of existing hardware and compensate for the performance hazards. Some of those assumptions are 20-30 years old and reflect outdated hardware characteristics. Therefore, we examine the influence of new I/O technologies, changing memory hierarchies, and many-core CPUs on database systems. Improved algorithms are developed which use modern hardware more efficiently. (more...)