
FONDA investigates methods for increasing productivity in the development, execution, and maintenance of Data Analysis Workflows for large scientific data sets. We approach the underlying research questions from a fundamental perspective, aiming to find new abstractions, models, and algorithms that can eventually form the basis of a new class of future infrastructures for Data Analysis Workflows.

Fabian Lehmann
Ph.D. candidate
My research interests include distributed systems, scientific workflows, and their scheduling.
Publications
Porting a scientific data analysis workflow (DAW) to a cluster infrastructure, a new software stack, or even only a new dataset with …
Florian Schintke,
Ninon De Mecquenem,
David Frantz,
Vanessa Emanuela Guarino,
Marcus Hilbrich,
Fabian Lehmann,
Rebecca Sattler,
Jan Arne Sparka,
Daniel Speckhard,
Hermann Stolte,
Anh Duc Vu,
Ulf Leser
Scientific workflow management systems (SWMSs) and resource managers together ensure that tasks are scheduled on provisioned resources …
Fabian Lehmann,
Jonathan Bader,
Friedrich Tschirpke,
Lauritz Thamsen,
Ulf Leser
Scientific workflows consist of thousands of highly parallelized tasks executed in a distributed environment involving many components. …
Jonathan Bader,
Joel Witzke,
Sören Becker,
Ansgar Lößer,
Fabian Lehmann,
Leon Döhler,
Anh Duc Vu,
Odej Kao
Scientific workflows typically comprise a multitude of different processing steps which often are executed in parallel on different …
Jonathan Bader,
Fabian Lehmann,
Alexander Groth,
Lauritz Thamsen,
Dominik Scheinert,
Jonathan Will,
Ulf Leser,
Odej Kao
During the last years, a growing amount of industry areas started to use microservices. Microservices offer advantages like scalability …
Marcus Hilbrich,
Fabian Lehmann
Many scientific workflow scheduling algorithms need to be informed about task runtimes a-priori to conduct efficient scheduling. In …
Jonathan Bader,
Fabian Lehmann,
Lauritz Thamsen,
Jonathan Will,
Ulf Leser,
Odej Kao
Florian Katerndahl,
Dirk Pflugmacher,
Fabian Lehmann,
Andreas Janz,
Ulf Leser,
Patrick Hostert
Creating, maintaining, and operating software artifacts is a long ongoing challenge. Various management strategies have been developed …
Marcus Hilbrich,
Fabian Lehmann
Modern Earth Observation (EO) often analyses hundreds of gigabytes of data from thousands of satellite images. This data usually is …
Fabian Lehmann,
David Frantz,
Sören Becker,
Ulf Leser,
Patrick Hostert