48 citations · 236 across the 32 of their papers we have counts for
5 papers · 1 filter
Learning Process Energy Profiles from Node-Level Power Data
Jonathan Bader, Julius Irion, Jannis Kappel +4
The growing demand for data center capacity, driven by the growth of high-performance computing, cloud computing, and especially artificial intelligence, has led to a sharp increas…
Optimizing Microgrid Composition for Sustainable Data Centers
Julius Irion, Philipp Wiesner, Jonathan Bader +1
As computing energy demand continues to grow and electrical grid infrastructure struggles to keep pace, an increasing number of data centers are being planned with colocated microg…
Predicting the Performance of Scientific Workflow Tasks for Cluster Resource Management: An Overview of the State of the Art
Jonathan Bader, Kathleen West, Soeren Becker +5
Scientific workflow management systems support large-scale data analysis on cluster infrastructures. For this, they interact with resource managers which schedule workflow tasks on…
WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows
Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke +6
Scientific workflows process extensive data sets over clusters of independent nodes, which requires a complex stack of infrastructure components, especially a resource manager (RM)…
Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification
Jonathan Will, Lauritz Thamsen, Jonathan Bader +1
Distributed dataflow systems like Spark and Flink enable data-parallel processing of large datasets on clusters of cloud resources. Yet, selecting appropriate computational resourc…