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Dominik Scheinert
Observed name:
Scheinert, Dominik
Observed institution:
Technische Universität Berlin
ORCID:
0000-0003-0763-3233
Observed ORCID:
0000-0003-0763-3233
OpenAlex ID:
A5024675213
Let's wait awhile: how temporal workload shifting can reduce carbon emissions in the cloud
2021
·
Philipp Wiesner
, Ilja Behnke
, et al.
·
International Middleware Conference
·
170
PDF
A2Log: Attentive Augmented Log Anomaly Detection
2022
·
Thorsten Wittkopp
, Alexander Acker
, et al.
·
Hawaii International Conference on System Sciences (HICSS)
·
31
Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies
2021
·
Dominik Scheinert
, Alexander Acker
, et al.
·
IEEE/ACM International Workshop on Cloud Intelligence (CloudIntelligence)
·
25
PDF
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads
2022
·
Philipp Wiesner
, Dominik Scheinert
, et al.
·
Lecture notes in computer science
·
23
PDF
Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems
2024
·
Benjamin J. J. Pfister
, Dominik Scheinert
, et al.
·
ACM/SPEC International Conference on Performance Engineering (ICPE)
·
15
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads
2022
·
Morgan K. Geldenhuys
, Dominik Scheinert
, et al.
·
IEEE International Conference on Web Services (ICWS)
·
15
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds
2021
·
Jonathan Will
, Lauritz Thamsen
, et al.
·
IEEE International Conference on Cloud Engineering
·
15
PDF
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services
2021
·
Dominik Scheinert
, Alexander Acker
·
Lecture notes in computer science
·
15
PDF
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing
2022
·
Morgan Geldenhuys
, Ben Pfister
, et al.
·
Annals of Computer Science and Information Systems
·
14
PDF
Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud
2021
·
Wiesner, Philipp
, Behnke, Ilja
, et al.
·
arXiv (Cornell University)
·
14
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts
2021
·
Dominik Scheinert
, Lauritz Thamsen
, et al.
·
IEEE International Conference on Cluster Computing (CLUSTER)
·
14
PDF
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation
2021
·
Dominik Scheinert
, Houkun Zhu
, et al.
·
IEEE International Performance, Computing, and Communications Conference
·
11
PDF
Sizey: Memory-Efficient Execution of Scientific Workflow Tasks
2024
·
Jonathan Bader
, Fabian Skalski
, et al.
·
IEEE International Conference on Cluster Computing (CLUSTER)
·
10
PDF
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures
2022
·
Jonathan Bader
, Fabian Lehmann
, et al.
·
IEEE International Performance, Computing, and Communications Conference
·
10
PDF
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning
2022
·
Houkun Zhu
, Dominik Scheinert
, et al.
·
IEEE International Conference on Cloud Engineering
·
10
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing
2022
·
Jonathan Will
, Lauritz Thamsen
, et al.
·
IEEE International Conference on Cloud Engineering
·
10
PDF
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
2021
·
Dominik Scheinert
, Alireza Alamgiralem
, et al.
·
IEEE International Conference on Big Data (BigData)
·
9
PDF
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision
2021
·
Thorsten Wittkopp
, Philipp Wiesner
, et al.
·
Lecture notes in computer science
·
9
PDF
Evaluation of Load Prediction Techniques for Distributed Stream Processing
2021
·
Kordian Gontarska
, Morgan Geldenhuys
, et al.
·
IEEE International Conference on Cloud Engineering
·
8
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud
2021
·
Jonathan Will
, Onur Arslan
, et al.
·
IEEE International Conference on Big Data (BigData)
·
7
PDF
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization
2024
·
Morgan K. Geldenhuys
, Dominik Scheinert
, et al.
·
ACM/SPEC International Conference on Performance Engineering (ICPE)
·
6
PDF
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics
2023
·
Dominik Scheinert
, Philipp Wiesner
, et al.
·
IEEE International Performance, Computing, and Communications Conference
·
6
PDF
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing
2022
·
Jonathan Will
, Lauritz Thamsen
, et al.
·
IEEE International Conference on Big Data (BigData)
·
6
PDF
Scalable and Data-driven Decision Support in the Maintenance, Repair, and Overhaul Process
2022
·
Houkun Zhu
, Helena Ebel
, et al.
·
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
·
6
PDF
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams
2022
·
Soeren Becker
, Dominik Scheinert
, et al.
·
IEEE International Conference on Fog and Edge Computing (ICFEC)
·
5
PDF
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Works count:
43
Citation count:
489
H-index:
11
I10-index:
16
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