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ORCID10th CIDR 2020: Amsterdam, The Netherlands
- 10th Conference on Innovative Data Systems Research, CIDR 2020, Amsterdam, The Netherlands, January 12-15, 2020, Online Proceedings. www.cidrdb.org 2020
Keynotes
- Jonathan Holman:
Big Data, AI and Banks - Uses Cases and Possibilities on the Ground. CIDR 2020 - Franz Faerber:
Data Management for Enterprise Applications. CIDR 2020
Session 1
- Christian Duta, Denis Hirn, Torsten Grust:
Compiling PL/SQL Away. - Stefan Noll, Jens Teubner, Norman May, Alexander Boehm:
Shared Load(ing): Efficient Bulk Loading into Optimized Storage. - Jens Dittrich, Joris Nix:
The Case for Deep Query Optimisation. - Bogdan Ghita, Diego G. Tomé, Peter A. Boncz:
White-box Compression: Learning and Exploiting Compact Table Representations. - Saehan Jo, Immanuel Trummer:
BitGourmet: Deterministic Approximation via Optimized Bit Selection.
Session 2
- Qizhen Zhang, Yifan Cai, Sebastian Angel, Vincent Liu, Ang Chen, Boon Thau Loo
:
Rethinking Data Management Systems for Disaggregated Data Centers. - Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl:
The NebulaStream Platform for Data and Application Management in the Internet of Things. - Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu:
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. - Daniel J. Abadi, Owen Arden, Faisal Nawab, Moshe Shadmon:
AnyLog: a Grand Unification of the Internet of Things. - Spyros Blanas, Paraschos Koutris, Anastasios Sidiropoulos:
Topology-aware Parallel Data Processing: Models, Algorithms and Systems at Scale.
Session 3
- Christopher Baik, Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish:
Constructing Expressive Relational Queries with Dual-Specification Synthesis. - Brandon Haynes, Maureen Daum, Amrita Mazumdar, Magdalena Balazinska, Alvin Cheung, Luis Ceze:
VisualWorldDB: A DBMS for the Visual World. - Mike Brachmann, William Spoth, Oliver Kennedy, Boris Glavic, Heiko Mueller, Sonia Castelo, Carlos Bautista, Juliana Freire:
Your notebook is not crumby enough, REPLace it. - Zechao Shang, Xi Liang, Dixin Tang, Cong Ding, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin:
CrocodileDB: Efficient Database Execution through Intelligent Deferment. - Ori Bar El, Tova Milo, Amit Somech:
Towards Autonomous, Hands-Free Data Exploration.
Session 4
- Gabriel Haas, Michael Haubenschild, Viktor Leis:
Exploiting Directly-Attached NVMe Arrays in DBMS. - Ivan Luiz Picoli, Niclas Hedam, Philippe Bonnet, Pinar Tözün:
Open-Channel SSD (What is it Good For). - Aunn Raza, Periklis Chrysogelos, Panagiotis Sioulas, Vladimir Indjic, Angelos-Christos G. Anadiotis, Anastasia Ailamaki:
GPU-accelerated data management under the test of time. - Alberto Lerner, Jaewook Kwak, Sangjin Lee, Kibin Park, Yong Ho Song, Philippe Cudré-Mauroux:
It Takes Two: Instrumenting the Interaction between In-Memory Databases and Solid-State Drives.
Session 5
- Abdul Quamar, Jannik Straube, Yuanyuan Tian:
Enabling Rich Queries Over Heterogeneous Data From Diverse Sources In HealthCare. - Cong Yan, Alvin Cheung, Junwen Yang, Shan Lu:
View-Driven Optimization of Database-Backed Web Applications. - Matthias Boehm, Iulian Antonov, Sebastian Baunsgaard, Mark Dokter, Robert Ginthör, Kevin Innerebner, Florijan Klezin, Stefanie N. Lindstaedt, Arnab Phani, Benjamin Rath, Berthold Reinwald, Shafaq Siddiqui, Sebastian Benjamin Wrede:
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle. - Mark Raasveldt, Hannes Mühleisen:
Data Management for Data Science - Towards Embedded Analytics.
Session 6
- Konstantinos Karanasos, Matteo Interlandi, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Doris Xin, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino:
Extending Relational Query Processing with ML Inference. - Guido Moerkotte, Axel Hertzschuch:
alpha to omega: the G(r)eek Alphabet of Sampling. - Laurel J. Orr, Samuel K. Ainsworth, Kevin G. Jamieson, Walter Cai, Magdalena Balazinska, Dan Suciu:
Mosaic: A Sample-Based Database System for Open World Query Processing.
Session 7
- Xinyu Chen, Yao Chen, Ronak Bajaj, Jiong He, Bingsheng He, Weng-Fai Wong, Deming Chen:
Is FPGA Useful for Hash Joins? - Annett Ungethüm, Johannes Pietrzyk, Patrick Damme, Alexander Krause, Dirk Habich, Wolfgang Lehner, Erich Focht:
Hardware-Oblivious SIMD Parallelism for In-Memory Column-Stores. - Thomas Neumann, Michael J. Freitag:
Umbra: A Disk-Based System with In-Memory Performance. - Gustavo Alonso, Timothy Roscoe, David A. Cock, Mohsen Ewaida, Kaan Kara, Dario Korolija, David Sidler, Zeke Wang:
Tackling Hardware/Software co-design from a database perspective.
Session 8
- Ying Sheng, Nguyen Vo, James B. Wendt, Sandeep Tata, Marc Najork:
Migrating a Privacy-Safe Information Extraction System to a Software 2.0 Design. - Sebastian Schelter:
"Amnesia" - Machine Learning Models That Can Forget User Data Very Fast. - Christopher Ré:
Overton: A Data System for Monitoring and Improving Machine-Learned Products. - Benjamin Hilprecht, Carsten Binnig, Tiemo Bang, Muhammad El-Hindi, Benjamin Hättasch, Aditya Khanna, Robin Rehrmann, Uwe Röhm, Andreas Schmidt, Lasse Thostrup, Tobias Ziegler:
DBMS Fitting: Why should we learn what we already know? - El Kindi Rezig, Lei Cao, Giovanni Simonini, Maxime Schoemans, Samuel Madden, Nan Tang, Mourad Ouzzani, Michael Stonebraker:
Dagger: A Data (not code) Debugger.
Gong Show
- Fan Meng:
Aiming at real applications: Subsequence Outlier Detection on Mixed-Type Attributes Data in RDBMS. - Olamide Timothy Tawose:
Cross-Blockchain Transactions. - Christopher Baik:
Fragment-Driven Natural Language Interaction with Databases. - Raul Castro Fernandez:
A System for Studying Deep Network Training. - Christine F. Reilly:
Parallel Traversal of Graphs Stored in RDBMSs. - Laure Berti-Équille:
Active Reinforcement Learning for Data Preparation: Learn2Clean with Human-In-The-Loop. - George A. Chernishev:
Making DBMSes Dependency-Aware. - Haoqiong Bian:
Pixels: Multiversion Wide Table Store for Data Lakes. - Stefan Hagedorn:
When sweet and cute isn't enough anymore: Solving scalability issues in Python Pandas with Grizzly. - Yuya Sasaki:
We do not have Systems for Analysing IoT Big-Data. - Mahdi Esmailoghli, Ziawasch Abedjan:
CAFE: Constraint-Aware Feature Extraction from Large Databases. - Matheus Nerone:
Efficient Hard Real-Time Transaction Processing - Unachievable in Software.
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