Volker Markl

About Volker Markl

Volker Markl, With an exceptional h-index of 57 and a recent h-index of 36 (since 2020), a distinguished researcher at Technische Universität Berlin, specializes in the field of Database Systems, Large-scale Data Management, Big Data, Programming Models, Query Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Correction to: Survey of window types for aggregation in stream processing systems

Assisted design of data science pipelines

Benchmarking Stream Join Algorithms on GPUs: A Framework and Its Application to the State of the Art

Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed Topologies

Evaluation of Sampling Methods for Discovering Facts from Knowledge Graph Embeddings

Bridging the Gap: Complex Event Processing on Stream Processing Systems

Multi-Backend Zonal Statistics Execution with Raven

A survey on transactional stream processing

Volker Markl Information

University

Position

___

Citations(all)

13264

Citations(since 2020)

6531

Cited By

9242

hIndex(all)

57

hIndex(since 2020)

36

i10Index(all)

176

i10Index(since 2020)

125

Email

University Profile Page

Google Scholar

Volker Markl Skills & Research Interests

Database Systems

Large-scale Data Management

Big Data

Programming Models

Query Processing

Top articles of Volker Markl

Title

Journal

Author(s)

Publication Date

Correction to: Survey of window types for aggregation in stream processing systems

The VLDB Journal

Juliane Verwiebe

Philipp M Grulich

Jonas Traub

Volker Markl

2024/1

Assisted design of data science pipelines

The VLDB Journal

Sergey Redyuk

Zoi Kaoudi

Sebastian Schelter

Volker Markl

2024/2/13

Benchmarking Stream Join Algorithms on GPUs: A Framework and Its Application to the State of the Art

Dwi PA Nugroho

Philipp M Grulich

Steffen Zeuch

Clemens Lutz

Stefano Bortoli

...

2024

Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed Topologies

PVLDB

Xenofon Chatziliadis

Eleni Tzirita Zacharatou

Alphan Eracar

Steffen Zeuch

Volker Markl

2024

Evaluation of Sampling Methods for Discovering Facts from Knowledge Graph Embeddings

Rama Widyadhana

Volker Markl

Zoi Kaoudi

2024

Bridging the Gap: Complex Event Processing on Stream Processing Systems

Ariane Ziehn

Philipp M Grulich

Steffen Zeuch

Volker Markl

2024

Multi-Backend Zonal Statistics Execution with Raven

Gereon Dusella

Haralampos Gavriilidis

Laert Nuhu

Volker Markl

Eleni Tzirita Zacharatou

2024

A survey on transactional stream processing

The VLDB Journal

Shuhao Zhang

Juan Soto

Volker Markl

2024/3

TeeBench: Seamless Benchmarking in Trusted Execution Environments

Kajetan Maliszewski

Tilman Dietzel

Jorge-Arnulfo Quiané-Ruiz

Volker Markl

2023/6/4

Workload Prediction for IoT Data Management Systems

David Burrell

Xenofon Chatziliadis

Eleni Tzirita Zacharatou

Steffen Zeuch

Volker Markl

2023

SheetReader: Efficient specialized spreadsheet parsing

Information Systems

Haralampos Gavriilidis

Felix Henze

Eleni Tzirita Zacharatou

Volker Markl

2023/2/2

XDB in Action: Decentralized Cross-Database Query Processing for Black-Box DBMSes

Proceedings of the VLDB Endowment

Haralampos Gavriilidis

Leonhard Rose

Joel Ziegler

Kaustubh Beedkar

Jorge-Arnulfo Quiané-Ruiz

...

2023/8/1

Apache Wayang: A Unified Data Analytics Framework

ACM SIGMOD Record

Kaustubh Beedkar

Bertty Contreras-Rojas

Haralampos Gavriilidis

Zoi Kaoudi

Volker Markl

...

2023/10/31

Optimistic data parallelism for fpga-accelerated sketching

Proceedings of the VLDB Endowment (PVLDB)

Martin Kiefer

Ilias Poulakis

Eleni Tzirita Zacharatou

Volker Markl

2023

Morphstream: Adaptive scheduling for scalable transactional stream processing on multicores

Yancan Mao

Jianjun Zhao

Shuhao Zhang

Haikun Liu

Volker Markl

2023

MorphStream: Scalable Processing of Transactions over Streams on Multicores

arXiv preprint arXiv:2307.12749

Yancan Mao

Jianjun Zhao

Zhonghao Yang

Shuhao Zhang

Haikun Liu

...

2023/7/24

Good intentions: adaptive parameter management via intent signaling

Alexander Renz-Wieland

Andreas Kieslinger

Robert Gericke

Rainer Gemulla

Zoi Kaoudi

...

2023/10/21

The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines

Lennart Behme

Saravanan Thirumuruganathan

Alireza Rezaei Mahdiraji

Jorge-Arnulfo Quiané-Ruiz

Volker Markl

2023/4/3

Towards unifying query interpretation and compilation

Philipp M Grulich

Aljoscha Lepping

Dwi Prasetyo Adi Nugroho

Bonaventura Del Monte

Varun Pandey

...

2023

On irregularity localization for scientific data analysis workflows

Anh Duc Vu

Christos Tsigkanos

Jorge-Arnulfo Quiané-Ruiz

Volker Markl

Timo Kehrer

2023/6/26

See List of Professors in Volker Markl University(Technische Universität Berlin)

Co-Authors

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