Lauritz Thamsen
Citata da
Citata da
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 of …, 2015
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
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
Network-Aware Resource Management for Scalable Data Analytics Frameworks
T Renner, L Thamsen, O Kao
2015 IEEE International Conference on Big Data (Big Data), 2793-2800, 2015
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
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
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
Visually Programming Dataflows for Distributed Data Analytics
L Thamsen, T Renner, M Byfeld, M Paeschke, D Schroder, F Böhm
2016 IEEE International Conference on Big Data (Big Data), 2276-2285, 2016
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
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
Lively Groups: Shared Behavior in a World of Objects Without Classes or Prototypes
T Felgentreff, J Lincke, R Hirschfeld, L Thamsen
Workshop on Future Programming, 15-22, 2015
Object Versioning to Support Recovery Needs: Using Proxies to Preserve Previous Development States in Lively
B Steinert, L Thamsen, T Felgentreff, R Hirschfeld
ACM SIGPLAN Notices 50 (2), 113-124, 2014
Orca: A Single-language Web Framework for Collaborative Development
L Thamsen, A Gulenko, M Perscheid, R Krahn, R Hirschfeld, DA Thomas
2012 10th International Conference on Creating, Connecting and Collaborating …, 2012
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
Mary, Hugo, and Hugo*: Learning to Schedule Distributed Data‐Parallel Processing Jobs on Shared Clusters
L Thamsen, J Beilharz, VT Tran, S Nedelkoski, O Kao
Concurrency and Computation: Practice and Experience, e5823, 2020
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
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs
L Thamsen, I Verbitskiy, S Nedelkoski, VT Tran, V Meyer, MG Xavier, ...
Euro-Par Workshops 2019, 2019
Learning Efficient Co-locations for Scheduling Distributed Dataflows in Shared Clusters
L Thamsen, I Verbitskiy, B Rabier, O Kao
Services Transactions on Big Data 4 (1), 1-15, 2018
SMiPE: Estimating the Progress of Recurring Iterative Distributed Dataflows
J Koch, L Thamsen, F Schmidt, O Kao
2017 18th International Conference on Parallel and Distributed Computing …, 2017
Adaptive Resource Management for Distributed Data Analytics Based on Container-level Cluster Monitoring
T Renner, L Thamsen, O Kao
7th International Conference on Data Science, Technology and Applications …, 2017
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