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
Many resource management techniques for task scheduling, energy and carbon efficiency, and cost optimization in workflows rely on …
Jonathan Bader,
Fabian Lehmann,
Lauritz Thamsen,
Ulf Leser,
Odej Kao
Nowadays, many scientific workflows from different domains, such as Remote Sensing, Astronomy, and Bioinformatics, are executed on …
Fabian Lehmann,
Jonathan Bader,
Lauritz Thamsen,
Ulf Leser
Scientific workflow systems are increasingly popular for expressing and executing complex data analysis pipelines over large datasets, …
Mario Sänger,
Ninon De Mecquenem,
Katarzyna Ewa Lewińska,
Vasilis Bountris,
Fabian Lehmann,
Ulf Leser,
Thomas Kosch
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
Rafael Ferreira da Silva,
Rosa M. Badia,
Venkat Bala,
Debbie Bard,
Peer-Timo Bremer,
Ian Buckley,
Silvina Caino-Lores,
Kyle Chard,
Carole Goble,
Shantenu Jha,
Daniel S. Katz,
Daniel Laney,
Manish Parashar,
Frederic Suter,
Nick Tyler,
Thomas Uram,
Ilkay Altintas,
Stefan Andersson,
William Arndt,
Juan Aznar,
Jonathan Bader,
Bartosz Balis,
Chris Blanton,
Kelly Rosa Braghetto,
Aharon Brodutch,
Paul Brunk,
Henri Casanova,
Alba Cervera Lierta,
Justin Chigu,
Taina Coleman,
Nick Collier,
Iacopo Colonnelli,
Frederik Coppens,
Michael Crusoe,
Will Cunningham,
Bruno de Paula Kinoshita,
Paolo Di Tommaso,
Charles Doutriaux,
Matthew Downton,
Wael Elwasif,
Bjoern Enders,
Chris Erdmann,
Thomas Fahringer,
Ludmilla Figueiredo,
Rosa Filgueira,
Martin Foltin,
Anne Fouilloux,
Luiz Gadelha,
Andy Gallo,
Artur Garcia Saez,
Daniel Garijo,
Roman Gerlach,
Ryan Grant,
Samuel Grayson,
Patricia Grubel,
Johan Gustafsson,
Valerie Hayot-Sasson,
Oscar Hernandez,
Marcus Hilbrich,
AnnMary Justine,
Ian Laflotte,
Fabian Lehmann,
Andre Luckow,
Jakob Luettgau,
Ketan Maheshwari,
Motohiko Matsuda,
Doriana Medic,
Pete Mendygral,
Marek Michalewicz,
Jorji Nonaka,
Maciej Pawlik,
Loic Pottier,
Line Pouchard,
Mathias Putz,
Santosh Kumar Radha,
Lavanya Ramakrishnan,
Sashko Ristov,
Paul Romano,
Daniel Rosendo,
Martin Ruefenacht,
Katarzyna Rycerz,
Nishant Saurabh,
Volodymyr Savchenko,
Martin Schulz,
Christine Simpson,
Raul Sirvent,
Tyler Skluzacek,
Stian Soiland-Reyes,
Renan Souza,
Sreenivas Rangan Sukumar,
Ziheng Sun,
Alan Sussman,
Douglas Thain,
Mikhail Titov,
Benjamin Tovar,
Aalap Tripathy,
Matteo Turilli,
Bartosz Tuznik,
Hubertus van Dam,
Aurelio Vivas,
Logan Ward,
Patrick Widener,
Sean Wilkinson,
Justyna Zawalska,
Mahnoor Zulfiqar
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