Microsoft at VLDB 2020
Location: Virtual/Online
*All times are displayed in UTC
Monday, August 31
15:00 – 19:00 | DISPA (2) | Workshop
Analysis and Exploitation of Dynamic Pricing in the Public Cloud for ML Training
Co-organizer: Amar Phanishayee
21:00 – 01:00 | AIDB (2) | Workshop
Autonomous Index Tuning
Organizer: Bailu Ding
Tuesday, September 1
10:00 – 11:00 | Analytical Query Processing 1
2nd Session: Thursday September 3, 22:00 – 23:00
AutoToken: Predicting Peak Parallelism for Bing Data Analytics at Microsoft
Rathijit Sen, Alekh Jindal, Hiren Patel, Shi Qiao
10:00 – 11:00 | Data Quality 1
2nd Session: Thursday September 3, 22:00 – 23:00
Auto-Transform: Learning-to-Transform by Patterns
Zhongjun Jin, Yeye He, Surajit Chaudhuri
11:00 – 12:00 | Query Processing 2
2nd Session: Thursday September 3, 23:00 – 00:00
POLARIS: The Distributed SQL Engine in Azure Synapse
Josep Aguilar-Saborit, Raghu Ramakrishnan, Krish Srinivasan, Kevin Bocksrocker, Yannis Ioalagia, Mahadevan Sankara, Moe Shafiei, Jose Blakeley, Girish Dasarathy, Sumeet Dash, Lazar Davidovic, Maja Damjanic, Slobodan Djunic, Nemanja Djurkic, Charles Feddersen, Cesar Galindo-Legaria, Alan Halverson, Milana Kovacevic, Nikola Kicovic, Goran Lukic, Djordje Maksimovic, Ana Manic, Nikola Markovic, Bosko Mihic, Ugljesa Milic, Marko Milojevic, Tapas Nayak, Milan Potocnik, Milos Radic, Bozidar Radivojevic, Srikumar Rangarajan, Milan Ruzic, Milan Simic, Marko Sosic, Igor Stanko, Maja Stikic, Sasa Stanojkov, Vukasin Stefanovic, Milos Sukovic, Aleksandar Tomic, Dragan Tomic, Steve Toscano, Djordje Trifunovic, Veljko Vasic, Tomer Verona, Aleksandar Vujic, Nikola Vujic, Marko Vukovic, Marko Zivanovic
11:00 – 12:00 | Transactions Processing 1
2nd Session: Thursday September 3, 23:00 – 00:00
Concurrent Updates to Pages with Fixed-Size rows Using Lock-Free Algorithms
Raghavendra Thallam Kodandaramaih, Hanuma Kodavalla, Girish Venkataramanappa
16:00 – 17:00 | Analytical Query Processing 3
2nd Session: Friday September 4, 4:00 – 5:00
Pushing Data-Induced Predicates Through Joins in Big-Data Clusters
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
16:00 – 17:00 | Query Optimization 1
2nd Session: Friday September 4, 4:00 – 5:00
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models
Anshuman Dutt, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
17:00 – 18:00 | Query Optimization 2
2nd Session: Friday September 4, 5:00 – 6:00
Incorporating Super-Operators in Big-Data Query Optimizers
Jyoti Leeka, Kaushik Rajan
18:00 – 19:00 | Approximate Query Processing 2
2nd Session: Friday September 4, 6:00 – 7:00
Approximate Partition Selection for Big-Data Workloads using Summary Statistics
Kexin Rong, Yao Lu, Peter D Bailis, Srikanth Kandula, Philip Levis
22:00 – 23:00 | Cloud Systems & Services
2nd Session: Thursday September 4, 9:00 – 10:00
A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications
Jonathan Goldstein, Ahmed S. Abdelhamid, Mike Barnett, Sebastian Burckhardt, Badrish Chandramouli, Darren Gehring, Niel I Lebeck, Christopher Meiklejohn, Umar Farooq Minhas, Ryan Newton, Rahee Peshawaria, Tal Zaccai, Irene Zhang
23:00 – 00:00 | Data Storage 1
2nd Session: Thursday September 3, 10:00 – 11:00
Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection
Hang Zhu, Zhihao Bai, Jialin Li, Ellis Michael, Dan Ports, Ion Stoica, Xin Jin
Wednesday, September 2
4:00 – 5:00 | Performance Tuning 3
2nd Session: Thursday September 3, 17:00 – 18:00
Optimizing Databases by Learning Hidden Parameters of Solid State Drives
Aarati Kakaraparthy, Jignesh Patel, Kwanghyun Park, Brian Kroth
10:00 – 11:00 | Indexing 2
2nd Session: Wednesday September 2, 22:00 – 23:00
Helios: Hyperscale Indexing for the Cloud & Edge
Rahul Potharaju, Terry Kim, Wentao Wu, Vidip Acharya, Steve Suh, Andrew Fogarty, Apoorve Dave, Sinduja Ramanujam, Tomas Talius, Lev Novik, Raghu Ramakrishnan
17:30 – 18:15 | [Demo] IoT
2nd Session: Thursday September 3 5:30 – 6:15
Apache IoTDB: Time-series database for Internet of Things
Chen Wang, Huang Xiangdong, Jialin Qiao, Jianmin Wang, Jiaguang Sun, Kevin McGrail, Julian Feinauer, Jinrui Zhang, Peng Wang, Rong Kang, Tian Jiang, Lei Rui, Jun Yuan
22:00 – 23:00 | Indexing 2
Helios: Hyperscale Indexing for the Cloud & Edge
Rahul Potharaju, Terry Kim, Wentao Wu, Vidip Acharya, Steve Suh, Andrew Fogarty, Apoorve Dave, Sinduja Ramanujam, Tomas Talius, Lev Novik, Raghu Ramakrishnan
22:30 – 23:45 | [Demo] Machine Learning
2nd Session: Thursday September 3, 5:30 – 6:15
Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development
Cedric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
Thursday, September 3
5:30 – 6:15 | [Demo] IoT
Apache IoTDB: Time-series database for Internet of Things
Chen Wang, Huang Xiangdong, Jialin Qiao, Jianmin Wang, Jiaguang Sun, Kevin McGrail, Julian Feinauer, Jinrui Zhang, Peng Wang, Rong Kang, Tian Jiang, Lei Rui, Jun Yuan
5:30 – 6:15 | [Demo] Machine Learning
Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development
Cedric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
9:00 – 10:00 | Cloud Systems & Services
A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications
Jonathan Goldstein, Ahmed S. Abdelhamid, Mike Barnett, Sebastian Burckhardt, Badrish Chandramouli, Darren Gehring, Niel I Lebeck, Christopher Meiklejohn, Umar Farooq Minhas, Ryan Newton, Rahee Peshawaria, Tal Zaccai, Irene Zhang
10:00 – 11:00 | Data Storage 1
Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection
Hang Zhu, Zhihao Bai, Jialin Li, Ellis Michael, Dan Ports, Ion Stoica, Xin Jin
17:00 – 18:00 | Performance Tuning 3
Optimizing Databases by Learning Hidden Parameters of Solid State Drives
Aarati Kakaraparthy, Jignesh Patel, Kwanghyun Park, Brian Kroth
22:00 – 23:00 | Analytical Query Processing 1
AutoToken: Predicting Peak Parallelism for Bing Data Analytics at Microsoft
Rathijit Sen, Alekh Jindal, Hiren Patel, Shi Qiao
22:00 – 23:00 | Data Quality 1
Auto-Transform: Learning-to-Transform by Patterns
Zhongjun Jin, Yeye He, Surajit Chaudhuri
23:00 – 00:00 | Query Processing 2
POLARIS: The Distributed SQL Engine in Azure Synapse
Josep Aguilar-Saborit, Raghu Ramakrishnan, Krish Srinivasan, Kevin Bocksrocker, Yannis Ioalagia, Mahadevan Sankara, Moe Shafiei, Jose Blakeley, Girish Dasarathy, Sumeet Dash, Lazar Davidovic, Maja Damjanic, Slobodan Djunic, Nemanja Djurkic, Charles Feddersen, Cesar Galindo-Legaria, Alan Halverson, Milana Kovacevic, Nikola Kicovic, Goran Lukic, Djordje Maksimovic, Ana Manic, Nikola Markovic, Bosko Mihic, Ugljesa Milic, Marko Milojevic, Tapas Nayak, Milan Potocnik, Milos Radic, Bozidar Radivojevic, Srikumar Rangarajan, Milan Ruzic, Milan Simic, Marko Sosic, Igor Stanko, Maja Stikic, Sasa Stanojkov, Vukasin Stefanovic, Milos Sukovic, Aleksandar Tomic, Dragan Tomic, Steve Toscano, Djordje Trifunovic, Veljko Vasic, Tomer Verona, Aleksandar Vujic, Nikola Vujic, Marko Vukovic, Marko Zivanovic
23:00 – 00:00 | Transactions Processing 1
Concurrent Updates to Pages with Fixed-Size rows Using Lock-Free Algorithms
Raghavendra Thallam Kodandaramaih, Hanuma Kodavalla, Girish Venkataramanappa
Friday, September 4
4:00 – 5:00 | Analytical Query Processing 3
Pushing Data-Induced Predicates Through Joins in Big-Data Clusters
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
4:00 – 5:00 | Query Optimization 1
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models
Anshuman Dutt, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
5:00 – 6:00 | Query Optimization 2
Incorporating Super-Operators in Big-Data Query Optimizers
Jyoti Leeka, Kaushik Rajan
6:00 – 7:00 | Approximate Query Processing 2
Approximate Partition Selection for Big-Data Workloads using Summary Statistics
Kexin Rong, Yao Lu, Peter D Bailis, Srikanth Kandula, Philip Levis