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12th CIDR 2022: Chaminade, CA, USA
- 12th Conference on Innovative Data Systems Research, CIDR 2022, Chaminade, CA, USA, January 9-12, 2022. www.cidrdb.org 2022
Session 1: Modern Data Storage
- Devashish R. Purandare, Peter Wilcox, Heiner Litz, Shel Finkelstein:
Append is Near: Log-based Data Management on ZNS SSDs. - Kaisong Huang, Darien Imai, Tianzheng Wang, Dong Xie
:
SSDs Striking Back: The Storage Jungle and Its Implications to Persistent Indexes. - Andrew Crotty, Viktor Leis, Andrew Pavlo:
Are You Sure You Want to Use MMAP in Your Database Management System? - André Ryser, Alberto Lerner, Alex Forencich, Philippe Cudré-Mauroux:
D-RDMA: Bringing Zero-Copy RDMA to Database Systems. - Jie Liang Ang, Jefferson Chu, Hieu Le Trung, Jiajun Liu, Jiong He, Qian Lin, Bingsheng He:
Micro-architectural Analysis of OLAP Systems on Persistent Memory. - Qiaoyi Ding:
Runtime Encoding Execution in AnalyticDB: Efficient Query Executor for Cloud-native Database.
Session 2: New Systems
- Qian Li, Peter Kraft, Kostis Kaffes, Athinagoras Skiadopoulos, Deeptaanshu Kumar, Jason Li, Michael J. Cafarella, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia:
A Progress Report on DBOS: A Database-oriented Operating System. - Franco Solleza, Andrew Crotty, Suman Karumuri, Nesime Tatbul, Stan Zdonik:
Mach: A Pluggable Metrics Storage Engine for the Age of Observability. - Lawrence Benson, Tilmann Rabl:
Darwin: Scale-In Stream Processing. - Guodong Jin, Nafisa Anzum, Semih Salihoglu:
GRainDB: A Relational-core Graph-Relational DBMS. - Rihan Hai, Christos Koutras, Andra Ionescu, Asterios Katsifodimos:
Amalur: Next-generation Data Integration in Data Lakes. - Alexander Behm, Shoumik Palkar:
Photon: A High-Performance Query Engine for the Lakehouse.
Session 3: Video Analytics
- Maureen Daum, Enhao Zhang, Dong He, Magdalena Balazinska, Brandon Haynes, Ranjay Krishna, Apryle Craig, Aaron Wirsing:
VOCAL: Video Organization and Interactive Compositional AnaLytics. - Daniel Kang, Francisco Romero, Peter D. Bailis, Christos Kozyrakis, Matei Zaharia:
VIVA: An End-to-End System for Interactive Video Analytics.
Session 4: Cloud Computing
- Qizhen Zhang, Philip A. Bernstein, Daniel S. Berger, Badrish Chandramouli, Vincent Liu, Boon Thau Loo
CompuCache: Remote Computable Caching using Spot VMs. - Samuel Madden, Jialin Ding, Tim Kraska, Sivaprasad Sudhir, David E. Cohen, Timothy G. Mattson, Nesime Tatbul:
Self-Organizing Data Containers. - Dario Korolija, Dimitrios Koutsoukos, Kimberly Keeton, Konstantin Taranov, Dejan S. Milojicic, Gustavo Alonso:
Farview: Disaggregated Memory with Operator Off-loading for Database Engines. - Pat Helland:
Decoupled Transactions: Low Tail Latency Online Transactions Atop Jittery Servers. - Anduo Wang, Fangping Lan:
A Network Use for Incomplete Knowledge Management. - Caleb Stanford, Konstantinos Kallas, Rajeev Alur:
Correctness in Stream Processing: Challenges and Opportunities.
Session 5: Data Exploration
- Wenbo Tao, Adam Sah, Leilani Battle, Remco Chang, Michael Stonebraker:
Kyrix-J: Visual Discovery of Connected Datasets in a Data Lake. - Michael R. Anderson, Yuze Lou, Jiayun Zou, Michael J. Cafarella, Sarah E. Chasins
Building a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A Demonstration. - Matteo Lissandrini, Davide Mottin, Katja Hose, Torben Bach Pedersen:
Knowledge Graph Exploration Systems: are we lost? - Laurel J. Orr, Karan Goel, Christopher Ré:
Data Management Opportunities for Foundation Models. - Immanuel Trummer:
Towards NLP-Enhanced Data Profiling Tools.
Session 6: Data Science
- Patrick Damme, Marius Birkenbach, Constantinos Bitsakos, Matthias Boehm, Philippe Bonnet, Florina M. Ciorba, Mark Dokter, Pawel Dowgiallo, Ahmed Eleliemy, Christian Faerber, Georgios I. Goumas, Dirk Habich, Niclas Hedam, Marlies Hofer, Wenjun Huang, Kevin Innerebner, Vasileios Karakostas, Roman Kern, Tomaz Kosar, Alexander Krause, Daniel Krems, Andreas Laber, Wolfgang Lehner, Eric Mier, Marcus Paradies, Bernhard Peischl, Gabrielle Poerwawinata, Stratos Psomadakis, Tilmann Rabl, Piotr Ratuszniak, Pedro Silva, Nikolai Skuppin, Andreas Starzacher, Benjamin Steinwender, Ilin Tolovski, Pinar Tözün
DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines. - Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, Çagatay Demiralp:
Augmenting Decision Making via Interactive What-If Analysis. - Shreya Shankar, Aditya G. Parameswaran
Towards Observability for Machine Learning Pipelines. - Sebastian Schelter, Stefan Grafberger, Shubha Guha, Olivier Sprangers, Bojan Karlas, Ce Zhang:
Screening Native Machine Learning Pipelines with ArgusEyes. - Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çagatay Demiralp:
Making Table Understanding Work in Practice. - El Kindi Rezig, Anshul Bhandari, Anna Fariha
Examples are All You Need: Iterative Data Discovery by Example in Data Lakes.
Session 7: Query Processing
- Daniel Flachs, Magnus Müller, Guido Moerkotte:
The 3D Hash Join: Building On Non-Unique Join Attributes. - Lukas Landgraf, Wolfgang Lehner, Florian Wolf, Alexander Boehm:
Memory Efficient Scheduling of Query Pipeline Execution. - Martin Prammer, Suryadev Sahadevan Rajesh, Junda Chen, Jignesh M. Patel:
Introducing a Query Acceleration Path for Analytics in SQLite3. - Steffen Kläbe, Robert DeSantis, Stefan Hagedorn, Kai-Uwe Sattler:
Accelerating Python UDFs in Vectorized Query Execution. - Anna Herlihy, Periklis Chrysogelos, Anastasia Ailamaki:
Boosting Efficiency of External Pipelines by Blurring Application Boundaries.
Session 8: ML and Query Optimization
- Jan Kossmann, Felix Naumann, Daniel Lindner
Workload-driven, Lazy Discovery of Data Dependencies for Query Optimization. - Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou:
A Unified Transferable Model for ML-Enhanced DBMS. - Benjamin Hilprecht, Carsten Binnig:
One Model to Rule them All: Towards Zero-Shot Learning for Databases. - Mark Blacher, Joachim Giesen, Sören Laue, Julien Klaus, Viktor Leis:
Machine Learning, Linear Algebra, and More: Is SQL All You Need? - Robin Van De Water, Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz
DataFarm: Farm Your ML-based Query Optimizer's Food! - Human-Guided Training Data Generation -. - Yunjia Zhang, Yannis Chronis, Jignesh M. Patel, Theodoros Rekatsinas:
Can Transfer Learning be used to build a Query Optimizer?
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