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TU Berlin

Inhalt des Dokuments

Publikationen

N

PEEL: A Framework for benchmarking distributed systems and algorithms

Christoph Boden, Alexander Alexandrov, Andreas Kunft, Tilmann Rabl, Volker Markl

Ninth TPC Technology Conference on Performance Evaluation & Benchmarking (TPCTC 2017) @VLDB 2017 2017

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P

Benchmarking Distributed Data Processing Systems for Machine Learning Workloads

Christoph Boden, Tilmann Rabl, Sebastian Schelter, Volker Markl

Performance Evaluation and Benchmarking for the Era of Artificial Intelligence - 10th TPC Technology Conference, TPCTC 2018 2018

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Interactive Visualization of High­-Velocity Event Streams

Uwe Jugel, Volker Markl

PhD Workshop@VLDB 12, 66-71. 2012

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p

Towards Unsupervised Data Quality Validation on Dynamic Data

Sergey Redyuk, Volker Markl, Sebastian Schelter

presented at International Workshop on Explainability for Trustworthy ML Pipelines (ETMLP) 2020

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P

Demand-based Sensor Data Gathering with Multi-Query Optimization

Julius Hülsmann, Jonas Traub, Volker Markl

Proc. VLDB Endow., 2801-2804. 2020

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Babelfish: Efficient Execution of Polyglot Queries

Philipp M. Grulich, Steffen Zeuch, Volker Markl

Proc. VLDB Endow. 2022

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Compliant Geo-distributed Data Processing in Action

Kaustubh Beedkar, David Brekardin, Jorge Arnulfo Quiane Ruiz, Volker Markl

Proc. VLDB Endow., 2843 - 2846. 2021

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Just Move It! Dynamic Parameter Allocation in Action

Alexander Renz-Wieland, Tobias Drobisch, Zoi Kaoudi, Rainer Gemulla, Volker Markl

Proc. VLDB Endow., 2707 - 2710. 2021

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HyMAC: A Hybrid Matrix Computation System

Zihao Chen, Zhizhen Xu, Chen Xu, Juan Soto, Volker Markl, Weining Qian, Aoying Zhou

Proc. VLDB Endow., 2699 - 2702. 2021

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What Is the Price for Joining Securely? Benchmarking Equi-Joins in Trusted Execution Environments

Kajetan Maliszewski, Jorge Arnulfo Quiane Ruiz, Jonas Traub, Volker Markl

Proc. VLDB Endow. 2022

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