GWDG and their contribution to DECICE; GWDG Logo, and DECICE Logo, dynamic looking cube in project identity colours (light blue, middle and dark blue as well es lila)

GWDG fulfills the function of a computing and IT competence center

The Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG) is a joint institution of the Georg-August-Universität Göttingen – Foundation under Public Law and the Max Planck Society. It fulfills the function of a computing and IT competence center for the Max Planck Society and the university computing center for the University of Göttingen. Its scientific research tasks are in the field of applied computer science. The requirements and the research goal in the DECICE project overlap to a large extent with the competencies of the University of Göttingen and the GWDG. The already existing resources can be directly brought into the project in a goal-oriented way and enable a fully comprehensive support. On the one hand, it underlines the efforts of the University of Göttingen and the GWDG to take a leading role in cloud management, as well as the importance of Göttingen as a scientific location. The DECICE project aims to develop a cloud management framework for application optimization: In a heterogeneous system, jobs are to be automatically and adaptively allocated to the most suitable resources. A Digital Twin of the system that mirrors the entire original system is used for holistic monitoring. An artificial intelligence (AI)-based so-called scheduler then makes decisions about the placement of jobs and data, as well as rescheduling jobs if they need to be adapted to system changes. In addition, a virtual training environment will be provided to generate test data for training machine learning models and investigating what-if scenarios.

Authors: Alexander Goldmann (GWDG)




computing and IT competence center | scientific research | applied computer science | cloud management | framework | application optimization | heterogeneous system | Digital Twin | monitoring | artificial intelligence | AI-Scheduler | machine learning | virtual training | what-if scenarios



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