September 5, 2022 – September 9, 2022

Microsoft at VLDB 2022

Location: Hybrid | Sydney, Australia

All times are in AEST (UTC +10)

10:00 – 17:00 Workshop

4th International Workshop on Applied AI for Database Systems and Applications (AIDB)

Program committee: Bailu Ding, Yao Lu

10:30 – 12:00 Paper session

Research Session 1: Database Engines 1
Related Publications
- Query Processing on Tensor Computation Runtimes
  
  Dong He, Supun Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi
10:30 – 12:00 Paper session

Research Session 2: Database Engines 2
Related Publications
- Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud
  
  Joyce Cahoon, Wenjing Wang, Yiwen Zhu, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Chengcheng Wan, Alexandra M Ciortea, Sreraman Narasimhan, Subru Krishnan
10:30 – 12:00 Paper session

Research Session 7: Database Engines 3
Related Publications
- New Query Optimization Techniques in the Spark Engine of Azure Synapse
  
  Abhishek Modi, Kaushik Rajan, Srinivas Thimmaiah, Prakhar Jain, Swinky Mann, Ayushi Agarwal, Ajith Shetty, Shahid K I, Ashit Gosalia, Partho Sarthi
13:30 – 15:00 Paper session

Research Session 12: Machine Learning, AI and Databases 3
Related Publications
- Optimizing Machine Learning Inference Queries with Correlative Proxy Models
  
  Zhihui Yang, Zuozhi Wang, Yicong Huang, Yao Lu, Chen Li, X. Sean Wang
23:30 – 01:00 Paper session

Online Session 4: Distributed Database Systems
Related Publications
- Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless
  
  Olga Poppe, Qun Guo, Willis Lang, Pankaj Arora, Morgan Oslake, Shize Xu, Ajay Kalhan

10:30 – 12:30 Demo

Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem

Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi
10:30 – 12:00 Paper session

Research Session 14: Database Engines 6
Related Publications
- VIP Hashing — Adapting to Skew in Popularity of Data on the Fly
  
  Aarati Kakaraparthy, Jignesh M. Patel, Brian Kroth, Kwanghyun Park
- Leveraging query logs and machine learning for parametric query optimization
  
  Kapil Vaidya, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
13:30 – 15:00 Talk session

Challenges in Evolving a Successful Database Product, SQL Server, to a Cloud Service, SQL Azure

Speaker: Hanuma Kodavalla
13:30 – 15:00 Demo

Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem

Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi
13:30 – 15:00 Paper session

Research Session 23: Machine Learning, AI and Databases 5
Related Publications
- Pre-training Summarization Models of Structured Datasets for Cardinality Estimation
  
  Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri
23:30 – 01:00 Demo

Pipemizer: An Optimizer for Analytics Data Pipelines

Sunny Gakhar, Joyce Cahoon, Wangchao Le, Xiangnan Li, Kaushik Ravichandran, Hiren Patel, Marc Friedman, Brandon Haynes, Shi Qiao, Alekh Jindal, Jyoti Leeka

01:30 – 03:00 Paper session

Online Session 11: ML, AI & DB II
Related Publications
- Harmony: Overcoming the hurdles of GPU memory capacity to train massive DNN models on commodity servers
  
  Youjie Li, Amar Phanishayee, Derek Murray, Jakub Tarnawski, Nam Sung Kim
10:30 – 12:00 Paper session

Research Session 28: Machine Learning, AI and Databases 6
Related Publications
- WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model
  
  Gyeong-in Yu, Saeed Amizadeh, Sehoon Kim, Artidoro Pagnoni, Ce Zhang, Byung-Gon Chun, Markus Weimer, Matteo Interlandi
10:30 – 12:00 Paper session

Research Session 29: Distributed Database Systems 1
Related Publications
- Netherite: Efficient Execution of Serverless Workflows
  
  Sebastian Burckhardt, Badrish Chandramouli, Chris Gillum, David Justo, Konstantinos Kallas, Connor McMahon, Christopher S. Meiklejohn, Xiangfeng Zhu
- Redy: Remote Dynamic Memory Cache
  
  Qizhen Zhang, Phil Bernstein, Daniel Berger (daberg), Badrish Chandramouli
10:30 – 12:00 Paper session

Research Session 31: Information Integration 1
Related Publications
- PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
  
  Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
13:30 – 15:00 Paper session

Research Session 35: Machine Learning, AI and Databases 7
Related Publications
- Accelerating Recommendation System Training by Leveraging Popular Choices
  
  Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
- PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost!
  
  Remmelt Ammerlaan, Gilbert Antonius, Marc Friedman, H M Sajjad Hossain, Alekh Jindal, Peter Orenberg, Hiren Patel, Shi Qiao, Vijay Ramani, Lucas Rosenblatt, Abhishek Roy, Irene Shaffer, Soundarajan Srinivasan, Markus Weimer
13:30 – 15:00 Paper session

Research Session 36: Database Performance 1
Related Publications
- TAOBench: An End-to-End Benchmark for Social Networking Workloads
  
  Audrey Cheng, Xiao Shi, Aaron Kabcenell, Shilpa Lawande, Hamza Qadeer, Jason Chan, Harrison Tin, Ryan Zhao, Peter Bailis, Mahesh Balakrishnan, Nathan Bronson, Natacha Crooks, Ion Stoica
- Containerized Execution of UDFs: An Experimental Evaluation
  
  Karla Saur, Tara Mirmira, Konstantinos Karanasos, Jesús Camacho-Rodríguez
- LlamaTune: Sample-Efficient DBMS Configuration Tuning
  
  Konstantinos Kanellis, Cong Ding, Brian Kroth, Andreas C. Müller, Carlo Curino, Shivaram Venkataraman
15:30 – 17:00 Demo

Demonstration of Accelerating Machine Learning Inference Queries with Correlative Proxy Models

Zhihui Yang, Yicong Huang, Zuozhi Wang, Feng Gao, Yao Lu, Chen Li, X. Sean Wang
15:30 – 17:00 Paper session

Research Session 42: Database Performance 2
Related Publications
- DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems
  
  Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek Narasayya
- DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning (Extended Version)
  
  Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri

08:30 – 17:30 Workshop

First International Workshop on Composable Data Management Systems (CDMS)

Keynote | From parsing, to query processing, to resiliency: Deriving unexpected value from database technology through componentization

Speaker: Jonathan Goldstein

Microsoft at VLDB 2022

Monday, September 5, 2022

4th International Workshop on Applied AI for Database Systems and Applications (AIDB)

Tuesday, September 6, 2022

Research Session 1: Database Engines 1

Research Session 2: Database Engines 2

Research Session 7: Database Engines 3

Research Session 12: Machine Learning, AI and Databases 3

Online Session 4: Distributed Database Systems

Wednesday, September 7, 2022

Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem

Research Session 14: Database Engines 6

Challenges in Evolving a Successful Database Product, SQL Server, to a Cloud Service, SQL Azure

Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem

Research Session 23: Machine Learning, AI and Databases 5

Pipemizer: An Optimizer for Analytics Data Pipelines

Thursday, September 8, 2022

Online Session 11: ML, AI & DB II

Research Session 28: Machine Learning, AI and Databases 6

Research Session 29: Distributed Database Systems 1

Research Session 31: Information Integration 1

Research Session 35: Machine Learning, AI and Databases 7

Research Session 36: Database Performance 1

Demonstration of Accelerating Machine Learning Inference Queries with Correlative Proxy Models

Research Session 42: Database Performance 2

Friday, September 9, 2022

First International Workshop on Composable Data Management Systems (CDMS)