August 16, 2021 – August 20, 2021

Microsoft at VLDB 2021

위치: Copenhagen, Denmark | Virtual

모든 시간은 CEST (UTC +2)

09:00 – 16:10 Workshop

SFDI2021: Fifth Workshop on Software Foundations for Data Interoperability

Program Committee: Erkang Zhu
10:15 – 18:20 Workshop

LADSIOS: A tutorial workshop on Learned Algorithms, and Data Structures to Instance Optimized Systems

Organizer: Umar Farooq Minhas
10:30 – 17:45 Workshop

PhD Workshop

Co-Chair: Philip Bernstein

11:00 – 12:00 Talk

Achieving High Throughput and Elasticity in a Larger-than-Memory Store
관련 출판물
- Achieving High Throughput and Elasticity in a Larger-than-Memory Store
  
  Chinmay Kulkarni, Badrish Chandramouli, Ryan Stutsman
11:00 – 12:00 Talk

COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics
관련 출판물
- COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)
  
  Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
11:00 – 12:00 Talk

Procedural Extensions of SQL: Understanding their usage in the wild
관련 출판물
- Procedural Extensions of SQL: Understanding their usage in the wild
  
  Surabhi Gupta, Karthik Ramachandra
11:00 – 12:00 Talk

Maximizing Social Welfare in a Competitive Diffusion Model
관련 출판물
- Maximizing Social Welfare in a Competitive Diffusion Model
  
  Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan
11:00 – 12:00 Talk

Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions
관련 출판물
- Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions
  
  Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gurel, Xu Chu, Wentao Wu, Ce Zhang

09:00 – 10:30 Talk

Optimization of Threshold Functions over Streams
관련 출판물
- Optimization of threshold functions over streams
  
  Walter Cai, Phil Bernstein, Wentao Wu, Badrish Chandramouli
11:00 – 12:00 Talk

Phoebe: A Learning-based Checkpoint Optimizer
관련 출판물
- Phoebe: A Learning-based Checkpoint Optimizer
  
  Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal
11:00 – 12:00 Talk

Auto-Pipeline: Synthesize Data Pipelines By-Target Using Reinforcement Learning and Search
관련 출판물
- Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
  
  Junwen Yang, Yeye He, Surajit Chaudhuri
13:30 – 14:30 Talk

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
관련 출판물
- VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
  
  Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
13:30 – 14:30 Talk

Scaling Replicated State Machines with Compartmentalization
16:15 – 17:45 Talk

Hyperspace: The Indexing Subsystem of Azure Synapse
관련 출판물
- Hyperspace: The Indexing Subsystem of Azure Synapse
  
  Rahul Potharaju, Terry Kim, Eunjin Song, Wentao Wu, Lev Novik, Apoorve Dave, Andrew Fogarty, Pouria Pirzadeh, Vidip Acharya, Gurleen Dhody, Jiying Li, Sinduja Ramanujam, Nicolas Bruno, Cesar Galindo-Legaria, Vivek Narasayya, Surajit Chaudhuri, Anil K. Nori, Tomas Talius, Raghu Ramakrishnan

09:00 – 10:30 Talk

Analyzing and Mitigating Data Stalls in DNN Training
관련 출판물
- Analyzing and Mitigating Data Stalls in DNN Training
  
  Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram
09:00 – 10:30 Talk

Discovering Related Data at Scale
관련 출판물
- Discovering Related Data At Scale
  
  Sagar Bharadwaj, Praveen Gupta, Ranjita Bhagwan, Saikat Guha
11:00 – 12:30 Tutorial

Machine Learning for Cloud Data Systems: the Promise, the Progress, and the Path Forward
11:00 – 12:30 Talk

Tensors: An abstraction for general data processing
관련 출판물
- Tensors: An abstraction for general data processing
  
  Dimitrios Koutsoukos, Supun Nakandala, Konstantinos Karanasos, Karla Saur, Gustavo Alonso, Matteo Interlandi
11:00 – 12:30 Talk

Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation
관련 출판물
- Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation
  
  Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu
11:00 – 12:30 Talk

Crystal: A Unified Cache Storage System for Analytical Databases
관련 출판물
- Crystal: A Unified Cache Storage System for Analytical Databases
  
  Dominik Durner, Badrish Chandramouli, Yinan Li
11:00 – 12:15 Talk

The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward
관련 출판물
- The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward
  
  Conor Power, Hiren Patel, Alekh Jindal, Jyoti Leeka, Bob Jenkins, Michael Rys, Ed Triou, Dexin Zhu, Lucky Katahanas, Chakrapani Bhat Talapady, Joshua Rowe, Fan Zhang, Rich Draves, Marc Friedman, Ivan Santa Maria Filho, Amrish Kumar
11:00 – 12:15 Talk

SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft
관련 출판물
- SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft
  
  Abhishek Roy, Alekh Jindal, Priyanka Gomatam, Xiating Ouyang, Ashit Gosalia, Nishkam Ravi, Swinky Mann, Prakhar Jain
13:30 – 15:00 Talk

Estimating Spread of Contact-Based Contagions in a Population Through Sub-Sampling
관련 출판물
- Estimating Spread of Contact-Based Contagions in a Population Through Sub-Sampling
  
  Sepanta Zeighami, Cyrus Shahabi, John Krumm
17:00 – 18:30 Live Q&A

The future of data(base) education: Is the "cow book" dead?

Panelist: Johannes Gehrke

10:00 – 18:00 Workshop

AIDB: Applied AI for Database Systems and Applications

Co-Chair: Umar Farooq Minhas
Program Committee: Yao Lu, Bailu Ding
16:00 – 19:00 Workshop

DMAH: Data Management and Analytics for Medicine and Healthcare

Keynote Speaker: Rich Caruana

Microsoft at VLDB 2021

Monday, August 16, 2021

SFDI2021: Fifth Workshop on Software Foundations for Data Interoperability

LADSIOS: A tutorial workshop on Learned Algorithms, and Data Structures to Instance Optimized Systems

PhD Workshop

Tuesday, August 17, 2021

Achieving High Throughput and Elasticity in a Larger-than-Memory Store

COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics

Procedural Extensions of SQL: Understanding their usage in the wild

Maximizing Social Welfare in a Competitive Diffusion Model

Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions

Wednesday, August 18, 2021

Optimization of Threshold Functions over Streams

Phoebe: A Learning-based Checkpoint Optimizer

Auto-Pipeline: Synthesize Data Pipelines By-Target Using Reinforcement Learning and Search

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition

Scaling Replicated State Machines with Compartmentalization

Hyperspace: The Indexing Subsystem of Azure Synapse

Thursday, August 19, 2021

Analyzing and Mitigating Data Stalls in DNN Training

Discovering Related Data at Scale

Machine Learning for Cloud Data Systems: the Promise, the Progress, and the Path Forward

Tensors: An abstraction for general data processing

Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation

Crystal: A Unified Cache Storage System for Analytical Databases

The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward

SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft

Estimating Spread of Contact-Based Contagions in a Population Through Sub-Sampling

The future of data(base) education: Is the "cow book" dead?

Friday, August 20, 2021

AIDB: Applied AI for Database Systems and Applications

DMAH: Data Management and Analytics for Medicine and Healthcare