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Publications

B

Large-scale social-media analytics on stratosphere

Christoph Boden and Marcel Karnstedt and Miriam Fernández and Volker Markl

WWW (Companion Volume), 257-260. 2013

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Optimizing Machine Learning Workloads in Collaborative Environments

Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Ziawasch Abedjan,Tilmann Rabl, Volker Markl

SIGMOD 2020

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Continuous Deployment of Machine Learning Pipelines

Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl

proceedings of the 22nd International Conference on Extending Database Technology (EDBT 2019), 397-408. 2019

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Nephele/PACTs: A Programming Model and Execution Framework for Web-Scale Analytical Processing

Dominic Battré and Stephan Ewen and Fabian Hueske and Odej Kao and Volker Markl and Daniel Warneke

SoCC '10: Proceedings of the ACM Symposium on Cloud Computing 2010. ACM, 119–130. 2010

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A

Time Series Similarity Search for Streaming Data in Distributed Systems

Ariane Ziehn, Marcela Charfuelan, Holmer Hemsen, Volker Markl

DARLI_AP Workshop, co-located with EDBT/ICDT 2019 2019

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Governor: Operator Placement for a Unified Fog-Cloud Environment

Ankit Chaudhary, Steffen Zeuch, Volker Markl

to be published in Proceedings of the 23rd International Conference on Extending Database Technology (EDBT) 2020

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SMART: An Application Framework for Real Time Big Data Analysis on Heterogeneous Cloud Environments

Julio C. S. dos Anjos and Marcos D. Assuncao and Jean Bez and Cláudio F. R. Geyer and Edison Pignaton de Freitas and Alexandre Carissimi and João Paulo Carvalho Lustosa da Costa and Gilles Fedak and Felix Freitag and Volker Markl and Paul Fergus and Rubem Pereira

15th IEEE International Conference on Computer and Information Technology, CIT 2015; 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015; 13th IEEE International Conference on Dependable, Autonomic and Secure, 199–206. 2015

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Enabling Wide Area Data Analytics with Collaborative Distributed Processing Pipelines (CDPPs)

Anja Feldmann, Manfred Hauswirth, Volker Markl

37th International Conference on Distributed Computing Systems, ICDCS 2017

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BlockJoin: Efficient Matrix Partitioning Through Joins.

Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Tilmann Rabl, Volker Markl

In the Proceedings of the VLDB Endowment, Vol. 10, No. 13. 2017 (to be presented in VLDB 2018) 2017

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An Intermediate Representation for Optimizing Machine Learning Pipelines

Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Sebastian Breß, Tilmann Rabl, Volker Markl

Proceedings of the VLDB Endowment, 1553-1567. 2019

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