Các bài viết có thể truy cập công khai - Lauritz ThamsenTìm hiểu thêm
Bài viết đã ngừng công khai: 1
Addressing Hadoop's Small File Problem with an Appendable Archive File Format
T Renner, J Müller, L Thamsen, O Kao
Computing Frontiers Conference, 367-372, 2017
Các cơ quan ủy nhiệm: German Research Foundation, Federal Ministry of Education and Research, Germany
Tác giả chịu trách nhiệm: T Renner
Có tại một số nơi: 53
Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud
P Wiesner, I Behnke, D Scheinert, K Gontarska, L Thamsen
Proceedings of the 22nd International Middleware Conference, 260-272, 2021
Các cơ quan ủy nhiệm: Federal Ministry of Education and Research, Germany
Implicit Parallelism Through Deep Language Embedding
A Alexandrov, A Kunft, A Katsifodimos, F Schüler, L Thamsen, O Kao, ...
🏆 Proceedings of the 2015 ACM SIGMOD International Conference on Management …, 2015
Các cơ quan ủy nhiệm: German Research Foundation, European Commission
LEAF: Simulating Large Energy-Aware Fog Computing Environments
P Wiesner, L Thamsen
5th IEEE International Conference on Fog and Edge Computing (ICFEC), 2021
Các cơ quan ủy nhiệm: Federal Ministry of Education and Research, Germany
Selecting Resources for Distributed Dataflow Systems According to Runtime Targets
L Thamsen, I Verbitskiy, F Schmidt, T Renner, O Kao
2016 IEEE 35th International Performance Computing and Communications …, 2016
Các cơ quan ủy nhiệm: German Research Foundation, Federal Ministry of Education and Research, Germany
Héctor: A Framework for Testing IoT Applications Across Heterogeneous Edge and Cloud Testbeds
I Behnke, L Thamsen, O Kao
12th IEEE/ACM International Conference on Utility and Cloud Computing …, 2019
Các cơ quan ủy nhiệm: Federal Ministry of Education and Research, Germany
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
Các cơ quan ủy nhiệm: German Research Foundation
Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies
D Scheinert, A Acker, L Thamsen, MK Geldenhuys, O Kao
2nd Workshop on Cloud Intelligence (CloudIntelligence), co-located with the …, 2021
Các cơ quan ủy nhiệm: Federal Ministry of Education and Research, Germany
Scheduling Stream Processing Tasks on Geo-Distributed Heterogeneous Resources
G Janßen, I Verbitskiy, T Renner, L Thamsen
2018 IEEE International Conference on Big Data (Big Data), 5159-5164, 2018
Các cơ quan ủy nhiệm: Federal Ministry of Education and Research, Germany
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
Các cơ quan ủy nhiệm: Federal Ministry of Education and Research, Germany
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
Các cơ quan ủy nhiệm: German Research Foundation, Federal Ministry of Education and Research, Germany
CoLoc: Distributed Data and Container Colocation for Data-Intensive Applications
T Renner, L Thamsen, O Kao
2016 IEEE International Conference on Big Data (Big Data), 3008-3015, 2016
Các cơ quan ủy nhiệm: German Research Foundation, Federal Ministry of Education and Research, Germany
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
Các cơ quan ủy nhiệm: Federal Ministry of Education and Research, Germany
Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets
L Thamsen, I Verbitskiy, J Beilharz, T Renner, A Polze, O Kao
2017 IEEE International Conference on Cloud Computing Technology and Science …, 2017
Các cơ quan ủy nhiệm: German Research Foundation, Federal Ministry of Education and Research, Germany
Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference
L Thamsen, B Rabier, F Schmidt, T Renner, O Kao
2017 IEEE International Congress on Big Data (BigData Congress), 145-152, 2017
Các cơ quan ủy nhiệm: German Research Foundation, Federal Ministry of Education and Research, Germany
How workflow engines should talk to resource managers: A proposal for a common workflow scheduling interface
F Lehmann, J Bader, F Tschirpke, L Thamsen, U Leser
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet …, 2023
Các cơ quan ủy nhiệm: German Research Foundation
Continuously Improving the Resource Utilization of Iterative Parallel Dataflows
L Thamsen, T Renner, O Kao
2016 IEEE 36th International Conference on Distributed Computing Systems …, 2016
Các cơ quan ủy nhiệm: German Research Foundation
Lotaru: Locally estimating runtimes of scientific workflow tasks in heterogeneous clusters
J Bader, F Lehmann, L Thamsen, J Will, U Leser, O Kao
Proceedings of the 34th International Conference on Scientific and …, 2022
Các cơ quan ủy nhiệm: German Research Foundation
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
Các cơ quan ủy nhiệm: Federal Ministry of Education and Research, Germany
When to Use a Distributed Dataflow Engine: Evaluating the Performance of Apache Flink
I Verbitskiy, L Thamsen, O Kao
2016 International IEEE Conference on Cloud and Big Data Computing (CBDCom …, 2016
Các cơ quan ủy nhiệm: German Research Foundation
Chương trình máy tính sẽ tự động xác định thông tin xuất bản và thông tin về nhà tài trợ