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Vol-3462
urn:nbn:de:0074-3462-7
Copyright © 2023 for
the individual papers by the papers' authors.
Copyright © 2023 for the volume
as a collection by its editors.
This volume and its papers are published under the
Creative Commons License Attribution 4.0 International
(CC BY 4.0).
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VLDBW 2023
Workshops at VLDB 2023
Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases
(VLDB 2023)
Vancouver, Canada, August 28 - September 1, 2023.
Edited by
Program Chairs of VLDB 2023 Joint Workshops
Rajesh Bordawekar, IBM T.J. Watson Research Center, USA
Cinzia Cappiello, Politecnico di Milano, Italy
Vasilis Efthymiou, University of Crete, Greece
Lisa Ehrlinger, Software Competence Center Hagenberg GmbH, Austria
Vijay Gadepally, Massachusetts Institute of Technology, USA
Sainyam Galhotra, Cornell University, USA
Sandra Geisler, RWTH Aachen University and Fraunhofer Institute for Applied Information Technology FIT, Germany
Sven Groppe, University of Lübeck, Germany
Le Gruenwald, University of Oklahoma, USA
Alon Halevy, Meta, USA
Hazar Harmouch, Hasso Plattner Institute, University of Potsdam, Germany
Oktie Hassanzadeh, IBM T.J. Watson Research Center, USA
Ihab Ilyas, Apple, University of Waterloo, USA
Ernesto Jiménez-Ruiz, University of London, UK
Sanjay Krishnan, University of Chicago, USA
Tirthankar Lahiri, Oracle, USA
Guoliang Li, Tsinghua University, China
Jiaheng Lu, University of Helsinki, Finland
Wolfgang Mauerer, Technical University of Applied Science Regensburg, Germany
Umar Farooq Minhas, Apple, USA
Felix Naumann, Hasso Plattner Institute, University of Potsdam, Germany
M. Tamer Özsu, University of Waterloo, Canada
El Kindi Rezig, University of Utah, USA
Kavitha Srinivas, IBM Research, USA
Michael Stonebraker, Massachusetts Institute of Technology, USA
Satyanarayana R Valluri, Databricks, USA
Maria-Esther Vidal, TIB-Leibniz Information Centre for Science and Technology and Leibniz University of Hannover, Germany
Haixun Wang, Instacart, USA
Jiannan Wang, Simon Fraser University, Canada
Yingjun Wu, RisingWave Labs, USA
Xun Xue, Huawei Technologies Canada, Canada
Mohamed Zait, Databricks, USA
Kai Zeng, Huawei, China
Table of Contents
14th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processors and Storage Architectures (ADMS)
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Post-Moore’s Law Fusion: High-Bandwidth Memory, Accelerators, and Native Half-Precision Processing for CPU-Local Analytics
Viktor Sanca,
Anastasia Ailamaki
-
An Intermediate Representation for Composable Typed Streaming Dataflow Designs
Matthijs A. Reukers,
Yongding Tian,
Zaid Al-Ars,
Peter Hofstee,
Matthijs Brobbel,
Johan Peltenburg,
Jeroen van Straten
-
Towards MRAM Byte-Addressable Persistent Memory in Edge Database Systems
Luís Meruje Ferreira,
Fábio Coelho,
José Orlando Pereira
-
Exploiting Code Generation for Efficient LIKE Pattern Matching
Adrian Riedl,
Philipp Fent,
Maximilian Bandle,
Thomas Neumann
-
Evaluating SIMD Compiler-Intrinsics for Database Systems
Lawrence Benson,
Richard Ebeling,
Tilmann Rabl
-
GAMUT: Matrix Multiplication-Like Tasks on GPUs
Xincheng Xie,
Junyoung Kim,
Kenneth Ross
-
ByteGAP: A Non-continuous Distributed Graph Computing System using Persistent Memory
Miaomiao Cheng,
Jiujian Chen,
Cheng Zhao,
Cheng Chen,
Yongmin Hu,
Xiaoliang Cong,
Liang Qin,
Hexiang Lin,
Rong Hua Li,
Guoren Wang,
Shuai Zhang,
Lei Zhang
5th Applied AI for Database Systems and Applications (AIDB)
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COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations
Xianghong Xu,
Zhibing Zhao,
Tieying Zhang,
Rong Kang,
Luming Sun,
Jianjun Chen
-
Improving K-means Clustering Using Speculation
Stefan Igescu,
Viktor Sanca,
Eleni Zapridou,
Anastasia Ailamaki
-
DBMLSched: Scheduling In-database Machine Learning Jobs
Yunjia Zheng,
Yuxuan Tian,
Joseph V. D’Silva,
Bettina Kemme
-
CorBit: Leveraging Correlations for Compressing Bitmap Indexes
Xi Lyu,
Andreas Kipf,
Pascal Pfeil,
Dominik Horn,
Jana Giceva,
Tim Kraska
-
Learned Query Superoptimization
Ryan Marcus
-
Towards Adaptive Fault-Tolerant Sharded Databases
Bhavana Mehta,
Neelesh C A,
Prashanth S Iyer,
Mohammad Javad Amiri,
Boon Thau Loo,
Ryan Marcus
2nd International Workshop on Composable Data Management Systems 2023 (CDMS)
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Preface CDMS
Satyanarayana R Vallur,
Mohamed Zait
-
Horizons of Composability
Orri Erling
-
Unbundling of the DBMS stack
Mosha Pasumansky,
Benjamin Wagner
-
Hybrid Query Execution; What is a database client, anyway?
Jordan Tigani
-
Taking Postgres into the 21st Century
Nikita Shamgunov
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Innovating with Storage Formats to Push The Limits in A Hybrid Database
Eugene Kogan
-
Holistic Extensibility for Integrated Data Analysis Pipelines in DAPHNE (Invited Talk)
Patrick Damme
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Relation-Based In-Database Stream Processing
Christian Winter,
Thomas Neumann,
Alfons Kemper
-
The Gluten Open-Source Software Project: Modernizing Java-based Query Engines for the Lakehouse Era
Akash Shankaran,
George Gu,
Weiting Chen,
Binwei Yang,
Chidamber Kulkarni,
Mark Rambacher,
Nesime Tatbul,
David E. Cohen
-
Wisent: An In-Memory Serialization Format for Leafy Trees
Hubert Mohr-Daurat,
Holger Pirk
-
Building a Serverless Data Lakehouse from Spare Parts
Jacopo Tagliabue,
Ciro Greco,
Luca Bigon
-
E-Scan: Consuming Contextual Data with Model Plugins
Viktor Sanca,
Anastasia Ailamaki
-
Polygraph - An Arrow Format for Large Apache Calcite Query Plans and Multi-Language Data Systems (Lightning Talk)
Adam Kennedy
-
Composable Gateway for Database (Lightning Talk)
Aditya Jalan,
Muthu Annamalai
-
Using Multiple Composable, Hardware-Accelerated Executors (Lightning Talk)
Felipe Aramburu
-
The Case for Decoupled Transaction Managers (Lightning Talk)
Hiroyuki Yamada,
Toshihiro Suzuk,
Vincent Guilpain,
Mitsunori Komatsu,
Akihiro Okuno,
Jun Nemoto
-
Techniques in Accelerating Query Processing on GPU
Jimmy Lu
-
Towards Efficient and Secure UDF Execution with BabelfishLib (Lightning Talk)
Philipp M. Grulich,
Steffen Zeuch,
Volker Markl
-
The Rise of Open Table Formats: Diving into the Next Decade of Data Lakes
Walaa Eldin Moustafa
1st Workshop on Cloud Databases (CloudDB)
2nd International Workshop on Data Ecosystems (DEco)
-
Preface DEco
Cinzia Cappiello,
Sandra Geisler,
Maria-Esther Vidal
-
Culture Data Space: A Case Study in Federated Data Ecosystems
Matthias Jarke
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Trustful Data Sharing in the Forest-based Sector - Opportunities and Challenges for a Data Trustee
Lennart Schinke,
Martin Hoppen,
Alexander Atanasyan,
Xuebilian Gong,
Frank Heinze,
Kathrin Stollenwerk,
Jürgen Roßmann
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Data Science Platform Applied to Health in Contribution to the Brazilian Unified Health System
Marcel Pedroso,
Rebecca Salles,
Raphael Saldanha,
Vinicius Kreischer de Almeida,
Gabriel Souto,
Balthazar Paixão,
Sérgio Ricardo de Borba Cruz,
Carlos Cardoso,
Victor Ribeiro,
Raquel Gritz,
Carmen Bonifácio,
Matheus Miloski,
Carlos Augusto de Sousa,
Gizelton Pereira Alencar,
Ariane Alves,
Nelson Niero Neto,
Letícia Sabbadini,
Eduardo Ogasawara,
Christovam Barcellos,
Fabio Porto,
Lucas Zinato Carraro,
Jefferson Lima
-
Towards Federated Machine Learning and Distributed Ledger Technology-based Data Monetization
Timo Himmelsbach,
Yongli Mou,
Stefan Decker,
Armin Heinzl
Workshop on Databases and Large Language Models (LLMDB)
6th Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances (POLY)
12th International Workshop on Quality in Databases (QDB)
-
Preface QDB
Lisa Ehrlinger,
Hazar Harmouch,
Ihab Ilyas,
Felix Naumann
-
Data Quality and Data Ethics: Towards a Trade-off Evaluation
Fabio Azzalini,
Cinzia Cappiello,
Chiara Criscuolo,
Camilla Sancricca,
Letizia Tanca
-
About the Effects of Data Imputation Techniques on ML Uncertainty
Cinzia Cappiello,
Federico Cerutti,
Camilla Sancricca,
Riccardo Zanelli
-
On the Data Quality of Remotely Sensed Forest Maps
Shadi Ghasemitaheri,
Amelia Holcomb,
Lukasz Golab,
Srinivasan Keshav
-
Data Quality in Data Streams by Modular Change Point Detection
Yaron Kanza,
Rajat Malik,
Divesh Srivastava,
Caroline Stone,
Gordon Woodhull
-
A Plaque Test for Redundancies in Relational Data
Christoph Köhnen,
Stefan Klessinger,
Jens Zumbrägel,
Stefanie Scherzinger
International Workshop on Quantum Data Science and Management (QDSM)
-
Preface QDSM
Valter Uotila,
Sven Groppe,
Le Gruenwald,
Jiaheng Lu,
Wolfgang Mauerer
-
Quantum Optimisation of General Join Trees
Manuel Schönberger,
Immanuel Trummer,
Wolfgang Mauerer
-
An Evolutionary Algorithm Design for Pauli-based Quantum Kernel Classification
Yozef Tjandra,
Hendrik Santoso Sugiarto
-
Empirical Evaluation of A Quantum Accelerated Approach for The Central Path Method in Linear Programming
Vijay Adoni,
Sajad Fathi Hafshejani,
Daya Gaur
-
Index Tuning with Machine Learning on Quantum Computers for Large-Scale Database Applications
Le Gruenwald,
Tobias Winker,
Umut Çalıkyılmaz,
Jinghua Groppe,
Sven Groppe
-
Quantum Computing for Databases: A Short Survey and Vision
Gongsheng Yuan,
Jiaheng Lu,
Yuxing Chen,
Sai Wu,
Chang Yao,
Zhengtong Yan,
Tuodu Li,
Gang Chen
Workshop on Serverless Data Analytics (SDA)
-
Preface SDA
M. Tamer Özsu,
Xun Xue
-
Rethinking Serverless Computing: from the Programming Model to the Platform Design
Gustavo Alonso,
Ana Klimovic,
Tom Kuchler,
Michael Wawrzoniak
-
BabelMR: A Polyglot Framework for Serverless MapReduce
Fabian Mahling,
Paul Rößler,
Thomas Bodner,
Tilmann Rabl
-
Ephemeral Per-query Engines for Serverless Analytics
Michael Wawrzoniak,
Rodrigo Bruno,
Ana Klimovic,
Gustavo Alonso
-
Hyperspecialized Compilation for Serverless Data Analytics
Leonhard Spiegelberg,
Tim Kraska,
Malte Schwarzkopf
Workshop on Tabular Data Analysis (TaDA)
-
Preface TaDA
Vasilis Efthymiou,
Sainyam Galhotra,
Oktie Hassanzadeh,
Ernesto Jiménez-Ruiz,
Kavitha Srinivas
-
Column Type Annotation using ChatGPT
Keti Korini,
Christian Bizer
-
Table Union Search with Preferences
Hamed Mirzaei,
Davood Rafiei
-
WikiDBs: A Corpus of Relational Databases From Wikidata
Liane Vogel,
Carsten Binnig
-
Adversarial Attacks on Tables with Entity Swap
Aneta Koleva,
Martin Ringsquandl,
Volker Tresp
-
To Join or Not to Join: An Analysis on the Usefulness of Joining Tables in Open Government Data Portals
Arif Usta,
Semih Salihoğlu
-
Knowledge Graph-driven Tabular Data Discovery from Scientific Documents
Vijay S. Kuma,
Varish Mulwad,
Jenny Weisenberg Williams,
Tim Finin,
Sharad Dixit,
Anupam Joshi
-
Towards Generative Semantic Table Interpretation
Viet-Phi Huynh,
Yoan Chabot,
Raphaël Troncy
-
Fair Sequential Group Recommendations in SQUIRREL Movies
Eva Chrysostomaki,
Maria Stratigi,
Vasilis Efthymiou,
Kostas Stefanidis,
Dimitris Plexousakis
-
Discovering and Integrating Tabular Data
Davood Rafiei,
Arash Dargahi Nobari,
Soroush Omidvartehrani
2023-08-20: submitted by Jiannan Wang,
metadata incl. bibliographic data published under Creative Commons CC0
2023-08-22: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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