Lauritz Thamsen

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies.

[BibT_eX]

[DOI]

CoRR, 2021

Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2021

PIERES: A Playground for Network Interrupt Experiments on Real-Time Embedded Systems in the IoT.

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[DOI]

Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

Towards a Staging Environment for the Internet of Things.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Let's wait awhile: how temporal workload shifting can reduce carbon emissions in the cloud.

[BibT_eX]

[DOI]

Philipp Wiesner

Ilja Behnke

Dominik Scheinert

Proceedings of the Middleware '21: 22nd International Middleware Conference, Québec City, Canada, December 6, 2021

Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Performance, 2021

Continuously Testing Distributed IoT Systems: An Overview of the State of the Art.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - ICSOC 2021 Workshops, 2021

LEAF: Simulating Large Energy-Aware Fog Computing Environments.

[BibT_eX]

[DOI]

Philipp Wiesner

Proceedings of the 5th IEEE International Conference on Fog and Edge Computing, 2021

C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cloud Engineering, 2021

GRAL: Localization of Floating Wireless Sensors in Pipe Networks.

[BibT_eX]

[DOI]

Martin Haug

Felix Lorenz

Proceedings of the IEEE International Conference on Cloud Engineering, 2021

Evaluation of Load Prediction Techniques for Distributed Stream Processing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cloud Engineering, 2021

Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures.

[BibT_eX]

[DOI]

Morgan K. Geldenhuys

Jonathan Will

Benjamin J. J. Pfister

Martin Haug

Alexander Scharmann

Proceedings of the IEEE International Conference on Cloud Engineering, 2021

On the Future of Cloud Engineering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cloud Engineering, 2021

Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems.

[BibT_eX]

[DOI]

Proceedings of the EdgeSys@EuroSys 2021: 4th International Workshop on Edge Systems, 2021

Rafiki: Task-Level Capacity Planning in Distributed Stream Processing Systems.

[BibT_eX]

[DOI]

Benjamin J. J. Pfister

Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021

Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cluster Computing, 2021

Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2021

LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

2020

Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet?

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Performance Computing and Communications Conference, 2020

Fingerprinting Analog IoT Sensors for Secret-Free Authentication.

[BibT_eX]

[DOI]

Jens Waldmüller-Littke

Ilya Komarov

Manfred Paeschke

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs.

[BibT_eX]

[DOI]

Jonathan Will

Jonathan Bader

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs.

[BibT_eX]

[DOI]

Morgan K. Geldenhuys

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Héctor: A Framework for Testing IoT Applications Across Heterogeneous Edge and Cloud Testbeds.

[BibT_eX]

[DOI]

Ilja Behnke

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, 2019

Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019

Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Conference on Edge Computing, 2019

Effectively Testing System Configurations of Critical IoT Analytics Pipelines.

[BibT_eX]

[DOI]

Morgan K. Geldenhuys

Felix Lorenz

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Dynamic resource allocation for distributed dataflows.

[BibT_eX]

[DOI]

PhD thesis, 2018

CoBell: Runtime Prediction for Distributed Dataflow Jobs in Shared Clusters.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Cloud Computing Technology and Science, 2018

Scheduling Stream Processing Tasks on Geo-Distributed Heterogeneous Resources.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Adaptive Resource Management for Distributed Data Analytics.

[BibT_eX]

[DOI]

Proceedings of the Big Data and HPC: Ecosystem and Convergence, TopHPC 2017, 2017

SMiPE: Estimating the Progress of Recurring Iterative Distributed Dataflows.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Parallel and Distributed Computing, 2017

Adaptive Resource Management for Distributed Data Analytics based on Container-level Cluster Monitoring.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Data Science, 2017

Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2017

Addressing Hadoop's Small File Problem With an Appendable Archive File Format.

[BibT_eX]

[DOI]

Proceedings of the Computing Frontiers Conference, 2017

Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016

When to Use a Distributed Dataflow Engine: Evaluating the Performance of Apache Flink.

[BibT_eX]

[DOI]

Ilya Verbitskiy

Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

Selecting resources for distributed dataflow systems according to runtime targets.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Performance Computing and Communications Conference, 2016

Continuously Improving the Resource Utilization of Iterative Parallel Dataflows.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Distributed Computing Systems Workshops, 2016

Visually programming dataflows for distributed data analytics.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

CoLoc: Distributed data and container colocation for data-intensive applications.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Implicit Parallelism through Deep Language Embedding.

[BibT_eX]

[DOI]

Alexander Alexandrov

Andreas Kunft

Asterios Katsifodimos

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Lively groups: shared behavior in a world of objects without classes or prototypes.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Future Programming, 2015

Network-aware resource management for scalable data analytics frameworks.

[BibT_eX]

[DOI]