Lauritz Thamsen - Citegraph

Author Info

Name	Affiliation	Papers
LAURITZ THAMSEN	Hasso Plattner Institute, University of Potsdam, Potsdam, Germany	24
Collaborators	Citations	PageRank
51	43	9.26
Referers	Referees	References
111	549	245

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100549

Publications (24 rows)

Collaborators (51 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Mary, Hugo, And Hugo*: Learning To Schedule Distributed Data-Parallel Processing Jobs On Shared Clusters	0	0.34	2021
Towards A Staging Environment For The Internet Of Things	0	0.34	2021
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms	1	0.37	2021
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts	0	0.34	2021
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks	1	0.37	2021
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation	2	0.39	2021
Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs	2	0.38	2020
Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures	0	0.34	2019
Effectively Testing System Configurations Of Critical Iot Analytics Pipelines	0	0.34	2019
Hugo - A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs.	0	0.34	2019
CoBell: Runtime Prediction for Distributed Dataflow Jobs in Shared Clusters	0	0.34	2018
Addressing Hadoop's Small File Problem With an Appendable Archive File Format.	0	0.34	2017
Adaptive Resource Management for Distributed Data Analytics based on Container-level Cluster Monitoring.	0	0.34	2017
Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets	1	0.35	2017
Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference	1	0.35	2017
SMiPE: Estimating the Progress of Recurring Iterative Distributed Dataflows	0	0.34	2017
Continuously Improving the Resource Utilization of Iterative Parallel Dataflows	1	0.35	2016
Coloc: Distributed Data And Container Colocation For Data-Intensive Applications	0	0.34	2016
Visually Programming Dataflows For Distributed Data Analytics	2	0.38	2016
Selecting resources for distributed dataflow systems according to runtime targets	4	0.42	2016
Lively groups: shared behavior in a world of objects without classes or prototypes.	3	0.61	2015
Network-aware resource management for scalable data analytics frameworks	0	0.34	2015
Implicit Parallelism through Deep Language Embedding	24	0.87	2015
Object versioning to support recovery needs: using proxies to preserve previous development states in lively	1	0.38	2014