7 citations · 9 across the 6 of their papers we have counts for
7 papers
About the Influence of Workflow Topology on Task Intensity Prediction through Graph Learning
Max Otto, Haci Ismail Aslan, Joel Witzke +2
Efficient resource provisioning for large-scale workflows on cloud infrastructures is a critical performance engineering challenge. These workflows are often structured as directed…
Optimizing Memory Allocation in Distributed Clusters with Predictive Modeling
Jonathan Bader, Edgar Blumenthal, Marten Eckardt +5
In modern distributed systems, efficient resource allocation is a vital aspect to maintain scalability, reduce operational costs, and ensure fast execution even across heterogeneou…
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…
QONNECT: A QoS-Aware Orchestration System for Distributed Kubernetes Clusters
Haci Ismail Aslan, Syed Muhammad Mahmudul Haque, Joel Witzke +1
Modern applications increasingly span across cloud, fog, and edge environments, demanding orchestration systems that can adapt to diverse deployment contexts while meeting Quality-…
Low-level I/O Monitoring for Scientific Workflows
Joel Witzke, Ansgar Lößer, Vasilis Bountris +2
While detailed resource usage monitoring is possible on the low-level using proper tools, associating such usage with higher-level abstractions in the application layer that actual…
Towards Advanced Monitoring for Scientific Workflows
Jonathan Bader, Joel Witzke, Soeren Becker +5
Scientific workflows consist of thousands of highly parallelized tasks executed in a distributed environment involving many components. Automatic tracing and investigation of the c…
BottleMod: Modeling Data Flows and Tasks for Fast Bottleneck Analysis
Ansgar Lößer, Joel Witzke, Florian Schintke +1
In the recent years, scientific workflows gained more and more popularity. In scientific workflows, tasks are typically treated as black boxes. Dealing with their complex interrela…