In preparations for DATE 2021, the Organizing Committees will continue to closely monitor the development of the worldwide Covid-19 situation and adjust the conference format accordingly. Updated information will always be available on this page.

DFG SPP 2037 - Scalable Data Management for Future Hardware

DFG SPP 2037 - Scalable Data Management for Future Hardware
DFG SPP 2037 - Scalable Data Management for Future Hardware
Contact Person
Kai-Uwe Sattler

TU Ilmenau/ Department of Computer Science and Automation
PO Box 100 565
98684 Ilmenau

The priority programme 2037 „Scalable Data Management for Future Hardware“ is funded by the german research funding organization DFG and  comprises 10 projects from german universities. The programme is based on the observation that the currently used database concepts and systems are not well prepared to support emerging application domains such as eSciences, Industry 4.0, Internet of Things or Digital Humanities: From a user’s perspective flexible domain-specific access interfaces are requires; novel data models for these application domains have to be integrated; consistency guarantees which reduce flexibility and performance should be adaptable according to the requirements; and the volume and velocity of data caused by ubiquitous sensors have to be mastered by massive scalability and online processing. At the same time current and future hardware trends such as many-core CPUs, co-processors like GPU and FPGA, novel storage technologies like NVRAM and SSD as well as high-speed networks provide new opportunities.

In order to open up the exemplarily mentioned application domains together with exploiting the potential of future hardware generations it becomes necessary now, to fundamentally rethink current database architectures. Thus, the objective of the priority programme is to answer the scientific questions related to these issues. As a result, we expect the development and evaluation of architectures and abstractions for flexible and scalable data management techniques which provide extensibility regarding new data models including processing and access mechanisms for emerging applications, and exploit the features of modern and heterogeneous hardware as well as system-level services.