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Jonathan Will
标题
引用次数
引用次数
年份
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters
J Bader, L Thamsen, S Kulagina, J Will, H Meyerhenke, O Kao
2021 IEEE International Conference on Big Data (Big Data), 65-75, 2021
242021
Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures
MK Geldenhuys, J Will, BJJ Pfister, M Haug, A Scharmann, L Thamsen
2021 IEEE International Conference on Cloud Engineering (IC2E), 244-250, 2021
162021
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds
J Will, L Thamsen, D Scheinert, J Bader, O Kao
2021 IEEE International Conference on Cloud Engineering (IC2E), 43-52, 2021
162021
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts
D Scheinert, L Thamsen, H Zhu, J Will, A Acker, T Wittkopp, O Kao
2021 IEEE International Conference on Cluster Computing (CLUSTER), 261-270, 2021
142021
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters
J Bader, F Lehmann, L Thamsen, J Will, U Leser, O Kao
2022 International Conference on Scientific and Statistical Database …, 2022
122022
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures
J Bader, F Lehmann, A Groth, L Thamsen, D Scheinert, J Will, U Leser, ...
2022 IEEE International Performance, Computing, and Communications …, 2022
102022
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
D Scheinert, A Alamgiralem, J Bader, J Will, T Wittkopp, L Thamsen
2021 IEEE International Conference on Big Data (Big Data), 3113-3118, 2021
102021
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs Using Graph Propagation
D Scheinert, H Zhu, L Thamsen, MK Geldenhuys, J Will, A Acker, O Kao
2021 IEEE International Performance, Computing, and Communications …, 2021
102021
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow jobs
J Will, J Bader, L Thamsen
2020 IEEE International Conference on Big Data (Big Data), 2851-2856, 2020
102020
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing
J Will, L Thamsen, J Bader, D Scheinert, O Kao
2022 IEEE International Conference on Cloud Engineering (IC2E), 58-66, 2022
62022
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing
J Will, L Thamsen, J Bader, D Scheinert, O Kao
2022 IEEE International Conference on Big Data (Big Data), 161-169, 2022
42022
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud
J Will, O Arslan, J Bader, D Scheinert, L Thamsen
2021 IEEE International Conference on Big Data (Big Data), 3141-3146, 2021
42021
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics
D Scheinert, P Wiesner, T Wittkopp, L Thamsen, J Will, O Kao
2023 IEEE International Performance, Computing, and Communications …, 2023
32023
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics
D Scheinert, S Becker, J Bader, L Thamsen, J Will, O Kao
2022 IEEE International Conference on Big Data (Big Data), 2022
22022
Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling
J Will, D Scheinert, J Bode, C Kring, S Zunzer, L Thamsen
2024 International Conference on Performance Engineering (ICPE), 2024
12024
Collaborative cluster configuration for distributed data-parallel processing: A research overview
L Thamsen, D Scheinert, J Will, J Bader, O Kao
Datenbank-Spektrum 22 (2), 143-151, 2022
12022
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications
D Scheinert, S Becker, J Will, L Englaender, L Thamsen
2022 IEEE International Conference on Big Data (Big Data), 2023
2023
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing?
J Will, L Thamsen, D Scheinert, O Kao
2023 International Conference on Scientific and Statistical Database …, 2023
2023
IC2E 2021
J Bader, I Behnke, M Geldenhuys, J Hasenburg, S Henning, ...
2021
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