Orca: A Single-Language Web Framework for Collaborative Development. - Lauritz Thamsen; Anton Gulenko; Michael Perscheid; Robert Krahn; Robert Hirschfeld; David A. Thomas (C5, 2012)

Object versioning to support recovery needs: using proxies to preserve previous development states in lively. - Bastian Steinert; Lauritz Thamsen; Tim Felgentreff; Robert Hirschfeld (DLS, 2014)

Network-aware resource management for scalable data analytics frameworks. - Thomas Renner; Lauritz Thamsen; Odej Kao (IEEE BigData, 2015)

Lively groups: shared behavior in a world of objects without classes or prototypes. - Tim Felgentreff; Jens Lincke; Robert Hirschfeld; Lauritz Thamsen (FPW@SPLASH, 2015)

Implicit Parallelism through Deep Language Embedding. - Alexander Alexandrov 001; Andreas Kunft; Asterios Katsifodimos; Felix Schüler; Lauritz Thamsen; Odej Kao; Tobias Herb; Volker Markl (SIGMOD Conference, 2015)

CoLoc: Distributed data and container colocation for data-intensive applications. - Thomas Renner; Lauritz Thamsen; Odej Kao (IEEE BigData, 2016)

Visually programming dataflows for distributed data analytics. - Lauritz Thamsen; Thomas Renner; Marvin Byfeld; Markus Paeschke; Daniel Schroder; Felix Bohm (IEEE BigData, 2016)

Continuously Improving the Resource Utilization of Iterative Parallel Dataflows. - Lauritz Thamsen; Thomas Renner; Odej Kao (ICDCS Workshops, 2016)

Selecting resources for distributed dataflow systems according to runtime targets. - Lauritz Thamsen; Ilya Verbitskiy; Florian Schmidt 006; Thomas Renner; Odej Kao (IPCCC, 2016)

When to Use a Distributed Dataflow Engine: Evaluating the Performance of Apache Flink. - Ilya Verbitskiy; Lauritz Thamsen; Odej Kao (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference. - Lauritz Thamsen; Benjamin Rabier; Florian Schmidt 006; Thomas Renner; Odej Kao (BigData Congress, 2017)

Addressing Hadoop's Small File Problem With an Appendable Archive File Format. - Thomas Renner; Johannes Müller; Lauritz Thamsen; Odej Kao (Conf. Computing Frontiers, 2017)

Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets. - Lauritz Thamsen; Ilya Verbitskiy; Jossekin Beilharz; Thomas Renner; Andreas Polze; Odej Kao (CloudCom, 2017)

Adaptive Resource Management for Distributed Data Analytics based on Container-level Cluster Monitoring. - Thomas Renner; Lauritz Thamsen; Odej Kao (DATA, 2017)

SMiPE: Estimating the Progress of Recurring Iterative Distributed Dataflows. - Jannis Koch; Lauritz Thamsen; Florian Schmidt 006; Odej Kao (PDCAT, 2017)

Adaptive Resource Management for Distributed Data Analytics. - Lauritz Thamsen; Thomas Renner; Ilya Verbitskiy; Odej Kao (TopHPC, 2017)

Scheduling Stream Processing Tasks on Geo-Distributed Heterogeneous Resources. - Gerrit Jansen; Ilya Verbitskiy; Thomas Renner; Lauritz Thamsen (IEEE BigData, 2018)

CoBell: Runtime Prediction for Distributed Dataflow Jobs in Shared Clusters. - Ilya Verbitskiy; Lauritz Thamsen; Thomas Renner; Odej Kao (CloudCom, 2018)

Dynamic resource allocation for distributed dataflows. - Lauritz Thamsen (2018)

Effectively Testing System Configurations of Critical IoT Analytics Pipelines. - Morgan K. Geldenhuys; Lauritz Thamsen; Kain Kordian Gontarska; Felix Lorenz; Odej Kao (IEEE BigData, 2019)

Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures. - Sasho Nedelkoski; Lauritz Thamsen; Ilya Verbitskiy; Odej Kao (EDGE, 2019)

Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs. - Lauritz Thamsen; Ilya Verbitskiy; Sasho Nedelkoski; Vinh Thuy Tran; Vinícius Meyer; Miguel G. Xavier; Odej Kao; César A. F. De Rose (Euro-Par Workshops, 2019)

Héctor: A Framework for Testing IoT Applications Across Heterogeneous Edge and Cloud Testbeds. - Ilja Behnke; Lauritz Thamsen; Odej Kao (UCC Companion, 2019)

Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs. - Morgan K. Geldenhuys; Lauritz Thamsen; Odej Kao (IEEE BigData, 2020)

A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring. - Felix Lorenz; Morgan Geldenhuys; Harald Sommer; Frauke Jakobs; Carsten Lüring; Volker Skwarek; Ilja Behnke; Lauritz Thamsen (IEEE BigData, 2020)

Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs. - Jonathan Will; Jonathan Bader; Lauritz Thamsen (IEEE BigData, 2020)

Fingerprinting Analog IoT Sensors for Secret-Free Authentication. - Felix Lorenz; Lauritz Thamsen; Andreas Wilke; Ilja Behnke; Jens Waldmüller-Littke; Ilya Komarov; Odej Kao; Manfred Paeschke (ICCCN, 2020)

Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet? - Ilja Behnke; Lukas Pirl; Lauritz Thamsen; Robert Danicki; Andreas Polze; Odej Kao (IPCCC, 2020)

LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks. - Soeren Becker 001; Florian Schmidt 006; Lauritz Thamsen; Ana Juan Ferrer; Odej Kao (ACSOS, 2021)

Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring. - Kain Kordian Gontarska; Weronika Wrazen; Jossekin Beilharz; Robert Schmid; Lauritz Thamsen; Andreas Polze (AIME, 2021)

Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. - Jonathan Bader; Lauritz Thamsen; Svetlana Kulagina; Jonathan Will; Henning Meyerhenke; Odej Kao (IEEE BigData, 2021)

On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds. - Dominik Scheinert; Alireza Alamgiralem; Jonathan Bader; Jonathan Will; Thorsten Wittkopp; Lauritz Thamsen (IEEE BigData, 2021)

Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud. - Jonathan Will; Onur Arslan; Jonathan Bader; Dominik Scheinert; Lauritz Thamsen (IEEE BigData, 2021)

Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. - Ana Juan Ferrer; Sören Becker 001; Florian Schmidt 006; Lauritz Thamsen; Odej Kao (CCGRID, 2021)

Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. - Dominik Scheinert; Lauritz Thamsen; Houkun Zhu; Jonathan Will; Alexander Acker; Thorsten Wittkopp; Odej Kao (CLUSTER, 2021)

Rafiki: Task-Level Capacity Planning in Distributed Stream Processing Systems. - Benjamin J. J. Pfister; Wolf S. Lickefett; Jan Nitschke; Sumit Paul; Morgan K. Geldenhuys; Dominik Scheinert; Kain Kordian Gontarska; Lauritz Thamsen (Euro-Par Workshops, 2021)

Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems. - Robert Danicki; Martin Haug; Ilja Behnke; Laurenz Mädje; Lauritz Thamsen (EdgeSys@EuroSys, 2021)

On the Future of Cloud Engineering. - David Bermbach; Abhishek Chandra; Chandra Krintz; Aniruddha Gokhale; Aleksander Slominski; Lauritz Thamsen; Everton Cavalcante; Tian Guo 001; Ivona Brandic; Rich Wolski (IC2E, 2021)

Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures. - Morgan K. Geldenhuys; Jonathan Will; Benjamin J. J. Pfister; Martin Haug; Alexander Scharmann; Lauritz Thamsen (IC2E, 2021)

Evaluation of Load Prediction Techniques for Distributed Stream Processing. - Kain Kordian Gontarska; Morgan Geldenhuys; Dominik Scheinert; Philipp Wiesner; Andreas Polze; Lauritz Thamsen (IC2E, 2021)

GRAL: Localization of Floating Wireless Sensors in Pipe Networks. - Martin Haug; Felix Lorenz; Lauritz Thamsen (IC2E, 2021)

C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. - Jonathan Will; Lauritz Thamsen; Dominik Scheinert; Jonathan Bader; Odej Kao (IC2E, 2021)

LEAF: Simulating Large Energy-Aware Fog Computing Environments. - Philipp Wiesner; Lauritz Thamsen (ICFEC, 2021)

Continuously Testing Distributed IoT Systems: An Overview of the State of the Art. - Jossekin Beilharz; Philipp Wiesner; Arne Boockmeyer; Lukas Pirl; Dirk Friedenberger; Florian Brokhausen; Ilja Behnke; Andreas Polze; Lauritz Thamsen (ICSOC Workshops, 2021)

Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. - Dominik Scheinert; Houkun Zhu; Lauritz Thamsen; Morgan K. Geldenhuys; Jonathan Will; Alexander Acker; Odej Kao (IPCCC, 2021)

Let's wait awhile: how temporal workload shifting can reduce carbon emissions in the cloud. - Philipp Wiesner; Ilja Behnke; Dominik Scheinert; Kain Kordian Gontarska; Lauritz Thamsen (Middleware, 2021)

Towards a Staging Environment for the Internet of Things. - Jossekin Beilharz; Philipp Wiesner; Arne Boockmeyer; Florian Brokhausen; Ilja Behnke; Robert Schmid; Lukas Pirl; Lauritz Thamsen (PerCom Workshops, 2021)

PIERES: A Playground for Network Interrupt Experiments on Real-Time Embedded Systems in the IoT. - Franz Bender; Jan Jonas Brune; Nick Lauritz Keutel; Ilja Behnke; Lauritz Thamsen (ICPE (Companion), 2021)

Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters. - Lauritz Thamsen; Jossekin Beilharz; Vinh Thuy Tran; Sasho Nedelkoski; Odej Kao (Concurr. Comput. Pract. Exp., 2021)

Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies. - Dominik Scheinert; Alexander Acker; Lauritz Thamsen; Morgan K. Geldenhuys; Odej Kao (CoRR, 2021)

Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. - Dominik Scheinert; Babak Sistani Zadeh Aghdam; Soeren Becker 001; Odej Kao; Lauritz Thamsen (IEEE Big Data, 2022)

Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. - Dominik Scheinert; Soeren Becker 001; Jonathan Bader; Lauritz Thamsen; Jonathan Will; Odej Kao (IEEE Big Data, 2022)

Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. - Jonathan Will; Lauritz Thamsen; Jonathan Bader; Dominik Scheinert; Odej Kao (IEEE Big Data, 2022)

Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. - Philipp Wiesner; Dominik Scheinert; Thorsten Wittkopp; Lauritz Thamsen; Odej Kao (Euro-Par, 2022)

SyncMesh: improving data locality for function-as-a-service in meshed edge networks. - Daniel Habenicht; Kevin Kreutz; Soeren Becker 001; Jonathan Bader; Lauritz Thamsen; Odej Kao (EdgeSys@EuroSys, 2022)

Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing. - Morgan Geldenhuys; Benjamin J. J. Pfister; Dominik Scheinert; Lauritz Thamsen; Odej Kao (FedCSIS, 2022)

Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services. - Demetris Trihinas; Lauritz Thamsen; Jossekin Beilharz; Moysis Symeonides (IC2E, 2022)

Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing. - Jonathan Will; Lauritz Thamsen; Jonathan Bader; Dominik Scheinert; Odej Kao (IC2E, 2022)

Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning. - Houkun Zhu; Dominik Scheinert; Lauritz Thamsen; Kain Kordian Gontarska; Odej Kao (IC2E, 2022)

Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. - Morgan K. Geldenhuys; Dominik Scheinert; Odej Kao; Lauritz Thamsen (ICWS, 2022)

Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures. - Jonathan Bader; Fabian Lehmann; Alexander Groth; Lauritz Thamsen; Dominik Scheinert; Jonathan Will; Ulf Leser; Odej Kao (IPCCC, 2022)

Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems. - Christoph Blumschein; Ilja Behnke; Lauritz Thamsen; Odej Kao (ISORC, 2022)

A priority-aware multiqueue NIC design for real-time IoT devices. - Ilja Behnke; Philipp Wiesner; Robert Danicki; Lauritz Thamsen (SAC, 2022)

Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters. - Jonathan Bader; Fabian Lehmann; Lauritz Thamsen; Jonathan Will; Ulf Leser; Odej Kao (SSDBM, 2022)

A Priority-Aware Multiqueue NIC Design. - Ilja Behnke; Philipp Wiesner; Robert Danicki; Lauritz Thamsen (CoRR, 2022)

Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview. - Lauritz Thamsen; Dominik Scheinert; Jonathan Will; Jonathan Bader; Odej Kao (Datenbank-Spektrum, 2022)

AuctionWhisk: Using an auction-inspired approach for function placement in serverless fog platforms. - David Bermbach; Jonathan Bader; Jonathan Hasenburg; Tobias Pfandzelter; Lauritz Thamsen (Softw. Pract. Exp., 2022)

Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. - Jonathan Bader; Nils Diedrich; Lauritz Thamsen; Odej Kao (IEEE Big Data, 2023)

Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications. - Dominik Scheinert; Sören Becker 001; Jonathan Will; Luis Englaender; Lauritz Thamsen (IEEE Big Data, 2023)

How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface. - Fabian Lehmann; Jonathan Bader; Friedrich Tschirpke; Lauritz Thamsen; Ulf Leser (CCGrid, 2023)

Towards Energy-Aware Machine Learning in Geo-Distributed IoT Settings. - Demetris Trihinas; Lauritz Thamsen (Euro-Par Workshops, 2023)

Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics. - Dominik Scheinert; Philipp Wiesner; Thorsten Wittkopp; Lauritz Thamsen; Jonathan Will; Odej Kao (IPCCC, 2023)

Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments. - Jonathan Bader; Jim Belak; Matthew T. Bement; Matthew Berry; Robert Carson; Daniela Cassol; Stephen Chan; John Coleman; Kastan Day; Alejandro Duque; Kjiersten Fagnan; Jeff Froula; et al. (SC Workshops, 2023)

Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing? - Jonathan Will; Lauritz Thamsen; Dominik Scheinert; Odej Kao (SSDBM, 2023)

The Common Workflow Scheduler Interface: Status Quo and Future Plans. - Fabian Lehmann; Jonathan Bader; Lauritz Thamsen; Ulf Leser (CoRR, 2023)

Towards a real-time IoT: Approaches for incoming packet processing in cyber-physical systems. - Ilja Behnke; Christoph Blumschein; Robert Danicki; Philipp Wiesner; Lauritz Thamsen; Odej Kao (J. Syst. Archit., 2023)

Nextflow with the Common Workflow Scheduler Interface for Kubernetes. - Fabian Lehmann; Jonathan Bader; Friedrich Tschirpke; Lauritz Thamsen; Ulf Leser (Zenodo, 2023)

Common Workflow Scheduler for Kubernetes. - Fabian Lehmann; Jonathan Bader; Friedrich Tschirpke; Lauritz Thamsen; Ulf Leser (Zenodo, 2023)

Common Workflow Scheduler Evaluation with Nextflow and Kubernetes. - Fabian Lehmann; Jonathan Bader; Friedrich Tschirpke; Lauritz Thamsen; Ulf Leser (Zenodo, 2023)

Special Issue on benchmarking, experimentation tools, and reproducible practices for data-intensive systems from edge to cloud. - Lauritz Thamsen; David Bermbach; Demetris Trihinas (Softw. Pract. Exp., 2023)

Experimentally Evaluating the Resource Efficiency of Big Data Autoscaling. - Jonathan Will; Nico Treide; Lauritz Thamsen; Odej Kao (IEEE Big Data, 2024)

Sizey: Memory-Efficient Execution of Scientific Workflow Tasks. - Jonathan Bader; Fabian Skalski; Fabian Lehmann; Dominik Scheinert; Jonathan Will; Lauritz Thamsen; Odej Kao (CLUSTER, 2024)

KS+: Predicting Workflow Task Memory Usage Over Time. - Jonathan Bader; Ansgar Lößer; Lauritz Thamsen; Björn Scheuermann 001; Odej Kao (e-Science, 2024)

Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows. - Fabian Lehmann; Jonathan Bader; Ninon De Mecquenem; Xing Wang; Vasilis Bountris; Florian Friederici; Ulf Leser; Lauritz Thamsen (e-Science, 2024)

FedZero: Leveraging Renewable Excess Energy in Federated Learning. - Philipp Wiesner; Ramin Khalili; Dennis Grinwald; Pratik Agrawal; Lauritz Thamsen; Odej Kao (e-Energy, 2024)

Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization. - Morgan K. Geldenhuys; Dominik Scheinert; Odej Kao; Lauritz Thamsen (ICPE, 2024)

Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling. - Jonathan Will; Dominik Scheinert; Seraphin Zunzer; Jan Bode; Cedric Kring; Lauritz Thamsen (ICPE (Companion), 2024)

Ichnos: A Carbon Footprint Estimator for Scientific Workflows. - Kathleen West; Yehia Elkhatib; Lauritz Thamsen (CoRR, 2024)

Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures. - Jonathan Bader; Fabian Lehmann; Lauritz Thamsen; Ulf Leser; Odej Kao (Future Gener. Comput. Syst., 2024)

Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification. - Jonathan Will; Lauritz Thamsen; Jonathan Bader; Odej Kao (CoRR, 2025)

WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows. - Fabian Lehmann; Jonathan Bader; Friedrich Tschirpke; Ninon De Mecquenem; Ansgar Lößer; Sören Becker 001; Katarzyna Ewa Lewinska; Lauritz Thamsen; Ulf Leser (CoRR, 2025)

Exploring the Potential of Carbon-Aware Execution for Scientific Workflows. - Kathleen West; Fabian Lehmann; Vasilis Bountris; Ulf Leser; Yehia Elkhatib; Lauritz Thamsen (CoRR, 2025)

Predicting the Performance of Scientific Workflow Tasks for Cluster Resource Management: An Overview of the State of the Art. - Jonathan Bader; Kathleen West; Sören Becker 001; Svetlana Kulagina; Fabian Lehmann; Lauritz Thamsen; Henning Meyerhenke; Odej Kao (CoRR, 2025)

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters. - Lauritz Thamsen; Yehia Elkhatib; Paul Harvey 002; Syed Waqar Nabi; Jeremy Singer; Wim Vanderbauwhede (CoRR, 2025)

A Systematic Evaluation of the Potential of Carbon-Aware Execution for Scientific Workflows. - Kathleen West; Youssef Moawad; Fabian Lehmann; Vasilis Bountris; Ulf Leser; Yehia Elkhatib; Lauritz Thamsen (CoRR, 2025)