Wred: Workload Reduction for Scalable Index Tuning
Matteo Brucato, Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | March 2024, Vol 2(1)
Vivek Narasayya
Partner Research Manager
Publications
Publications by Year
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Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets
Tarique Siddiqui, Vivek Narasayya, Marius Dumitru, Surajit Chaudhuri
Proceedings of the VLDB Endowment (VLDB 2024) | December 2023
Flexible Resource Allocation for Relational Database-as-a-Service
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
49th International Conference on Very Large Data Bases | October 2023
Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service
Arnd Christian König, Yi Shan, Karan Newatia, Luke Marshall, Vivek Narasayya
50th International Conference on Very Large Databases | September 2023
Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server
Kukjin Lee, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
PVLDB | September 2023, Vol 16(11): pp. 2871-2883
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Tenant Placement in Over-subscribed Database-as-a-Service Clusters
Arnd Christian König, Yi Shan, Tobias Ziegler, Aarati Kakaraparthy, Willis Lang, Justin Moeller, Ajay Kalhan, Vivek Narasayya
48th International Conference on Very Large Databases | September 2022
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
VLDB 2022 | August 2022
Budget-aware Index Tuning with Reinforcement Learning (Extended Version)
Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek Narasayya, Surajit Chaudhuri, Phil Bernstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
ACM SIGMOD 2022 | June 2022
PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
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Leveraging query logs and machine learning for parametric query optimization
Kapil Vaidya, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | November 2021
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems
Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek Narasayya
VLDB 2022 | October 2021
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2021-13 | July 2021
Published by Microsoft Research
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Efficiently Approximating Selectivity Functions using Low Overhead Regression Models
Anshuman Dutt, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
46th International Conference on Very Large Data Bases (VLDB 2020) | August 2020
Anytime Algorithm of Database Tuning Advisor for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
June 2020
Bitvector-aware Query Optimization for Decision Support Queries
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data | June 2020
Bitvector-aware Query Optimization for Decision Support Queries (extended version)
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2020-8 | April 2020
Published by Microsoft
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Customizable and Scalable Fuzzy Join for Big Data
Zhimin Chen, Yue Wang, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Data Bases (PVLDB) | August 2019
Selectivity Estimation for Range Predicates using Lightweight Models
Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek Narasayya, Surajit Chaudhuri
45th International Conference on Very Large Data Bases (VLDB 2019) | August 2019
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database
Sudipto Das, Miroslav Grbic, Igor Ilic, Isidora Jovandic, Andrija Jovanovic, Vivek Narasayya, Miodrag Radulovic, Maja Stikic, Gaoxiang Xu, Surajit Chaudhuri
ACM SIGMOD Conference | June 2019
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
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Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
Yeye He, Kris Ganjam, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2018
Plan Stitch: Harnessing the Best of Many Plans
Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2018) | July 2018
Columnstore and B+ tree – Are Hybrid Physical Designs Important?
Adam Dziedzic , Jingjing Wang, Sudipto Das, Bolin Ding, Vivek Narasayya, Manoj Syamala
ACM International Conference on Management of Data (SIGMOD) 2018 | June 2018
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel
Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek Narasayya, Surajit Chaudhuri, Xu Chu
International Conference on Management of Data (SIGMOD) | June 2018
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Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees
Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
International Conference on Management of Data (SIGMOD) | May 2017
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Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics
Kukjin Lee, Arnd Christian König, Vivek Narasayya, Bolin Ding, Surajit Chaudhuri, Brent Ellwein, Alexey Eksarevskiy, Manbeen Kohli, Jacob Wyant, Praneeta Prakash, Rimma Nehme, Jiexing Li, Jeff Naughton
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016)
Accelerating Relational Databases by Leveraging Remote Memory and RDMA
Feng Li, Sudipto Das, Manoj Syamala, Vivek Narasayya
ACM International Conference on Management of Data (SIGMOD) 2016 | June 2016
Automated Demand-driven Resource Scaling in Relational Database-as-a-Service
Sudipto Das, Feng Li, Vivek Narasayya, Arnd Christian König
ACM International Conference on Management of Data (SIGMOD) 2016 | June 2016
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Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Ishai Menache, Mohit Singh, Feng Li, Manoj Syamala, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2015
AutoTag’n Search My Photos: Leveraging the Social Graph for Photo Tagging
Shobana Balakrishnan, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the 24th International Conference on World Wide Web Conference | May 2015
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Fast foreign-key detection in Microsoft SQL server PowerPivot for Excel
Zhimin Chen, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2014
Database Application Developer Tools Using Static Analysis and Dynamic Profiling
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
IEEE Data Eng. Bull. | March 2014, Vol 37: pp. 38-47
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CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service
Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala
Proceedings of the VLDB Endowment | September 2013
A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Surajit Chaudhuri, Feng Li, Hyunjung Park
SIGMOD 2013 | June 2013
SIGMOD 2013
ISBN: 978-1-4503-2037-5
Data Services for E-tailers Leveraging Web Search Engine Assets
Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
ICDE Conference | April 2013
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
CIDR 2013 | January 2013
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Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques
Jiexing Li, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Surajit Chaudhuri
38th International Conference on Very Large Databases | August 2012
Experiences with using Data Cleaning Technology for Bing Services
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | June 2012
A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Surajit Chaudhuri, Vivek Narasayya, Bolin Ding
38th International Conference on Very Large Databases | January 2012
A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment, the 38th International Conference on Very Large Data Bases (VLDB 2012) | January 2012
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AutoAdmin Project at Microsoft Research: Lessons Learned
Surajit Chaudhuri, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala, Nicolas Bruno (nicolasbruno)
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering | December 2011
Rethinking Query Processing for Energy Efficiency: Slowing Down to Win the Race.
Nicolas Bruno, Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala
IEEE Data(base) Engineering Bulletin | November 2011, Vol 34: pp. 12-19
Towards a Domain Independent Platform for Data Cleaning
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | September 2011
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Variance Aware Optimization of Parameterized Queries
Surajit Chaudhuri, Vivek Narasayya, Hongrae Lee
ACM SIGMOD | June 2010
ACM SIGMOD
Estimating the Compression Fraction of an Index Using Sampling
Vivek Narasayya, Ravi Ramamurthy, Raghav Kaushik, Stratos Idreos
International Conference on Data Engineering (ICDE) | March 2010
International Conference on Data Engineering (ICDE)
Rule Profiling for Query Optimizers and their Implications
Surajit Chaudhuri, Leo Giakoumakis, Vivek Narasayya, Ravi Ramamurthy
International Conference of Data Engineering (ICDE) | March 2010
Workload Driven Index Defragmentation
Vivek Narasayya, Manoj Syamala
International Conference on Data Engineering (ICDE) | March 2010
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A Framework for Testing Query Transformation Rules
Vivek Narasayya, Ravi Ramamurthy, Hicham Elmongui
June 2009
A Static Analysis Framework for Database Applications
Vivek Narasayya, Manoj Syamala, Arjun Dasgupta
International Conference on Data Engineering (ICDE) | April 2009
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A Pay-As-You-Go Framework for Query Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
VLDB | August 2008
Diagnosing Estimation Errors in Page Counts using Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
24th International Conference on Data Engineering | April 2008
24th International Conference on Data Engineering
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Bridging the Application and DBMS Profiling Divide for Database Application Developers
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
VLDB | September 2007
VLDB
Self-Tuning Database Systems: A Decade of Progress
Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2007
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Automating Physical Database Design: Workload as a Sequence
Sanjay Agrawal, Eric Chu, Vivek Narasayya
SIGMOD | June 2006
AutoAdmin: Self-Tuning Database Systems Technology
Sanjay Agrawal, Nicolas Bruno, Surajit Chaudhuri, Vivek Narasayya
Data Engineering Bulletin | January 2006
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Data Cleaning in Microsoft SQL Server 2005
Surajit Chaudhuri, Kris Ganjam, Rahul Kapoor, Vivek Narasayya, Theo Vassilakis
SIGMOD | June 2005
Efficient Computation of Multiple Group-By Queries
Vivek Narasayya, Zhimin Chen
SIGMOD | June 2005
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Database Tuning Advisor for Microsoft SQL Server 2005
Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollar, Arun Marathe, Vivek Narasayya, Manoj Syamala
VLDB | August 2004
Estimating Progress of Execution for SQL Queries
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
SIGMOD | June 2004
Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design
Sanjay Agrawal, Vivek Narasayya, Beverly Yang
SIGMOD | June 2004
SQLCM: A Contiuous Monitoring Framework for Relational Database Engines
Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya
20th International Conference on Data Engineering | March 2004
20th International Conference on Data Engineering
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Primitives for Workload Summarization and Implications for SQL
Surajit Chaudhuri, Prasanna Ganesan, Vivek Narasayya
VLDB | September 2003
VLDB
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Compressing SQL Workloads
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 2002
Efficient Evaluation of Queries with Mining Predicates
Surajit Chaudhuri, Sunita Sarawagi, Vivek Narasayya
Proceedings of 18th International Conference on Data Engineering | January 2002
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A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries
Surajit Chaudhuri, Gautam Das, Vivek Narasayya
MSR-TR-2001-37 | May 2001
Technical Report UU-CS-2001-35, Departement of Computer Science, Universiteit Utrecht
Overcoming Limitations of Sampling for Aggregation Queries
Mayur Datar, Rajeev Motwani, Vivek Narasayya, Gautam Das, Surajit Chaudhuri
17th International Conference on Data Engineering | April 2001
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Automated Selection of Materialized Views and Indexes for SQL Databases.
Sanjay Agrawal, Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2000
VLDB
Automating Statistics Management for Query Optimizers
Surajit Chaudhuri, Vivek Narasayya
16th International Conference on Data Engineering | March 2000
16th International Conference on Data Engineering
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On Random Sampling over Joins
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1999
Index Merging
Surajit Chaudhuri, Vivek Narasayya
15th International Conference on Data Engineering | April 1999
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AutoAdmin “What-If” Index Analysis Utility
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 1998
Random Sampling for Histogram Construction: How Much is Enough?
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1998
The Microsoft Database Research Group
Surajit Chaudhuri, Per-Ake Larson, Vivek Narasayya, David Lomet, , Paul Larson
January 1998
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Publications by Research Area
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Automated Selection of Materialized Views and Indexes for SQL Databases.
Sanjay Agrawal, Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2000
VLDB
An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
VLDB | August 1997
Wred: Workload Reduction for Scalable Index Tuning
Matteo Brucato, Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | March 2024, Vol 2(1)
Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets
Tarique Siddiqui, Vivek Narasayya, Marius Dumitru, Surajit Chaudhuri
Proceedings of the VLDB Endowment (VLDB 2024) | December 2023
Flexible Resource Allocation for Relational Database-as-a-Service
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
49th International Conference on Very Large Data Bases | October 2023
Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service
Arnd Christian König, Yi Shan, Karan Newatia, Luke Marshall, Vivek Narasayya
50th International Conference on Very Large Databases | September 2023
Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server
Kukjin Lee, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
PVLDB | September 2023, Vol 16(11): pp. 2871-2883
Tenant Placement in Over-subscribed Database-as-a-Service Clusters
Arnd Christian König, Yi Shan, Tobias Ziegler, Aarati Kakaraparthy, Willis Lang, Justin Moeller, Ajay Kalhan, Vivek Narasayya
48th International Conference on Very Large Databases | September 2022
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
VLDB 2022 | August 2022
Budget-aware Index Tuning with Reinforcement Learning (Extended Version)
Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek Narasayya, Surajit Chaudhuri, Phil Bernstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
ACM SIGMOD 2022 | June 2022
PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
Leveraging query logs and machine learning for parametric query optimization
Kapil Vaidya, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | November 2021
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems
Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek Narasayya
VLDB 2022 | October 2021
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2021-13 | July 2021
Published by Microsoft Research
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models
Anshuman Dutt, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
46th International Conference on Very Large Data Bases (VLDB 2020) | August 2020
Anytime Algorithm of Database Tuning Advisor for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
June 2020
Bitvector-aware Query Optimization for Decision Support Queries
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data | June 2020
Bitvector-aware Query Optimization for Decision Support Queries (extended version)
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2020-8 | April 2020
Published by Microsoft
Customizable and Scalable Fuzzy Join for Big Data
Zhimin Chen, Yue Wang, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Data Bases (PVLDB) | August 2019
Selectivity Estimation for Range Predicates using Lightweight Models
Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek Narasayya, Surajit Chaudhuri
45th International Conference on Very Large Data Bases (VLDB 2019) | August 2019
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database
Sudipto Das, Miroslav Grbic, Igor Ilic, Isidora Jovandic, Andrija Jovanovic, Vivek Narasayya, Miodrag Radulovic, Maja Stikic, Gaoxiang Xu, Surajit Chaudhuri
ACM SIGMOD Conference | June 2019
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
Yeye He, Kris Ganjam, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2018
Plan Stitch: Harnessing the Best of Many Plans
Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2018) | July 2018
Columnstore and B+ tree – Are Hybrid Physical Designs Important?
Adam Dziedzic , Jingjing Wang, Sudipto Das, Bolin Ding, Vivek Narasayya, Manoj Syamala
ACM International Conference on Management of Data (SIGMOD) 2018 | June 2018
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel
Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek Narasayya, Surajit Chaudhuri, Xu Chu
International Conference on Management of Data (SIGMOD) | June 2018
Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees
Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
International Conference on Management of Data (SIGMOD) | May 2017
Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics
Kukjin Lee, Arnd Christian König, Vivek Narasayya, Bolin Ding, Surajit Chaudhuri, Brent Ellwein, Alexey Eksarevskiy, Manbeen Kohli, Jacob Wyant, Praneeta Prakash, Rimma Nehme, Jiexing Li, Jeff Naughton
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016)
Accelerating Relational Databases by Leveraging Remote Memory and RDMA
Feng Li, Sudipto Das, Manoj Syamala, Vivek Narasayya
ACM International Conference on Management of Data (SIGMOD) 2016 | June 2016
Automated Demand-driven Resource Scaling in Relational Database-as-a-Service
Sudipto Das, Feng Li, Vivek Narasayya, Arnd Christian König
ACM International Conference on Management of Data (SIGMOD) 2016 | June 2016
Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Ishai Menache, Mohit Singh, Feng Li, Manoj Syamala, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2015
AutoTag’n Search My Photos: Leveraging the Social Graph for Photo Tagging
Shobana Balakrishnan, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the 24th International Conference on World Wide Web Conference | May 2015
Fast foreign-key detection in Microsoft SQL server PowerPivot for Excel
Zhimin Chen, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2014
Database Application Developer Tools Using Static Analysis and Dynamic Profiling
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
IEEE Data Eng. Bull. | March 2014, Vol 37: pp. 38-47
CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service
Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala
Proceedings of the VLDB Endowment | September 2013
A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Surajit Chaudhuri, Feng Li, Hyunjung Park
SIGMOD 2013 | June 2013
SIGMOD 2013
ISBN: 978-1-4503-2037-5
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
CIDR 2013 | January 2013
Experiences with using Data Cleaning Technology for Bing Services
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | June 2012
A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment, the 38th International Conference on Very Large Data Bases (VLDB 2012) | January 2012
Towards a Domain Independent Platform for Data Cleaning
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | September 2011
Workload Driven Index Defragmentation
Vivek Narasayya, Manoj Syamala
International Conference on Data Engineering (ICDE) | March 2010
Estimating the Compression Fraction of an Index Using Sampling
Vivek Narasayya, Ravi Ramamurthy, Raghav Kaushik, Stratos Idreos
International Conference on Data Engineering (ICDE) | March 2010
International Conference on Data Engineering (ICDE)
Rule Profiling for Query Optimizers and their Implications
Surajit Chaudhuri, Leo Giakoumakis, Vivek Narasayya, Ravi Ramamurthy
International Conference of Data Engineering (ICDE) | March 2010
AutoAdmin: Self-Tuning Database Systems Technology
Sanjay Agrawal, Nicolas Bruno, Surajit Chaudhuri, Vivek Narasayya
Data Engineering Bulletin | January 2006
Data Cleaning in Microsoft SQL Server 2005
Surajit Chaudhuri, Kris Ganjam, Rahul Kapoor, Vivek Narasayya, Theo Vassilakis
SIGMOD | June 2005
-
Flexible Resource Allocation for Relational Database-as-a-Service
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
49th International Conference on Very Large Data Bases | October 2023
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
VLDB 2022 | August 2022
Selectivity Estimation for Range Predicates using Lightweight Models
Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek Narasayya, Surajit Chaudhuri
45th International Conference on Very Large Data Bases (VLDB 2019) | August 2019
Columnstore and B+ tree – Are Hybrid Physical Designs Important?
Adam Dziedzic , Jingjing Wang, Sudipto Das, Bolin Ding, Vivek Narasayya, Manoj Syamala
ACM International Conference on Management of Data (SIGMOD) 2018 | June 2018
CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service
Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala
Proceedings of the VLDB Endowment | September 2013
A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Surajit Chaudhuri, Feng Li, Hyunjung Park
SIGMOD 2013 | June 2013
SIGMOD 2013
ISBN: 978-1-4503-2037-5
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
CIDR 2013 | January 2013
Rethinking Query Processing for Energy Efficiency: Slowing Down to Win the Race.
Nicolas Bruno, Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala
IEEE Data(base) Engineering Bulletin | November 2011, Vol 34: pp. 12-19
A Static Analysis Framework for Database Applications
Vivek Narasayya, Manoj Syamala, Arjun Dasgupta
International Conference on Data Engineering (ICDE) | April 2009
-
Budget-aware Index Tuning with Reinforcement Learning (Extended Version)
Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek Narasayya, Surajit Chaudhuri, Phil Bernstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models
Anshuman Dutt, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
46th International Conference on Very Large Data Bases (VLDB 2020) | August 2020
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
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-
AutoTag’n Search My Photos: Leveraging the Social Graph for Photo Tagging
Shobana Balakrishnan, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the 24th International Conference on World Wide Web Conference | May 2015
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A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries
Surajit Chaudhuri, Gautam Das, Vivek Narasayya
MSR-TR-2001-37 | May 2001
Technical Report UU-CS-2001-35, Departement of Computer Science, Universiteit Utrecht
Overcoming Limitations of Sampling for Aggregation Queries
Mayur Datar, Rajeev Motwani, Vivek Narasayya, Gautam Das, Surajit Chaudhuri
17th International Conference on Data Engineering | April 2001
Automating Statistics Management for Query Optimizers
Surajit Chaudhuri, Vivek Narasayya
16th International Conference on Data Engineering | March 2000
16th International Conference on Data Engineering
On Random Sampling over Joins
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1999
Index Merging
Surajit Chaudhuri, Vivek Narasayya
15th International Conference on Data Engineering | April 1999
AutoAdmin “What-If” Index Analysis Utility
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 1998
Random Sampling for Histogram Construction: How Much is Enough?
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1998
An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
VLDB | August 1997
AutoTag’n Search My Photos: Leveraging the Social Graph for Photo Tagging
Shobana Balakrishnan, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the 24th International Conference on World Wide Web Conference | May 2015
Data Services for E-tailers Leveraging Web Search Engine Assets
Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
ICDE Conference | April 2013
Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques
Jiexing Li, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Surajit Chaudhuri
38th International Conference on Very Large Databases | August 2012
A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Surajit Chaudhuri, Vivek Narasayya, Bolin Ding
38th International Conference on Very Large Databases | January 2012
AutoAdmin Project at Microsoft Research: Lessons Learned
Surajit Chaudhuri, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala, Nicolas Bruno (nicolasbruno)
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering | December 2011
A Static Analysis Framework for Database Applications
Vivek Narasayya, Manoj Syamala, Arjun Dasgupta
International Conference on Data Engineering (ICDE) | April 2009
A Pay-As-You-Go Framework for Query Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
VLDB | August 2008
Diagnosing Estimation Errors in Page Counts using Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
24th International Conference on Data Engineering | April 2008
24th International Conference on Data Engineering
Bridging the Application and DBMS Profiling Divide for Database Application Developers
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
VLDB | September 2007
VLDB
Self-Tuning Database Systems: A Decade of Progress
Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2007
Automating Physical Database Design: Workload as a Sequence
Sanjay Agrawal, Eric Chu, Vivek Narasayya
SIGMOD | June 2006
Efficient Computation of Multiple Group-By Queries
Vivek Narasayya, Zhimin Chen
SIGMOD | June 2005
Database Tuning Advisor for Microsoft SQL Server 2005
Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollar, Arun Marathe, Vivek Narasayya, Manoj Syamala
VLDB | August 2004
Estimating Progress of Execution for SQL Queries
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
SIGMOD | June 2004
Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design
Sanjay Agrawal, Vivek Narasayya, Beverly Yang
SIGMOD | June 2004
SQLCM: A Contiuous Monitoring Framework for Relational Database Engines
Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya
20th International Conference on Data Engineering | March 2004
20th International Conference on Data Engineering
Primitives for Workload Summarization and Implications for SQL
Surajit Chaudhuri, Prasanna Ganesan, Vivek Narasayya
VLDB | September 2003
VLDB
Compressing SQL Workloads
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 2002
Efficient Evaluation of Queries with Mining Predicates
Surajit Chaudhuri, Sunita Sarawagi, Vivek Narasayya
Proceedings of 18th International Conference on Data Engineering | January 2002
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A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment, the 38th International Conference on Very Large Data Bases (VLDB 2012) | January 2012
Workload Driven Index Defragmentation
Vivek Narasayya, Manoj Syamala
International Conference on Data Engineering (ICDE) | March 2010
Rule Profiling for Query Optimizers and their Implications
Surajit Chaudhuri, Leo Giakoumakis, Vivek Narasayya, Ravi Ramamurthy
International Conference of Data Engineering (ICDE) | March 2010
A Framework for Testing Query Transformation Rules
Vivek Narasayya, Ravi Ramamurthy, Hicham Elmongui
June 2009
A Static Analysis Framework for Database Applications
Vivek Narasayya, Manoj Syamala, Arjun Dasgupta
International Conference on Data Engineering (ICDE) | April 2009
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The Microsoft Database Research Group
Surajit Chaudhuri, Per-Ake Larson, Vivek Narasayya, David Lomet, , Paul Larson
January 1998
Variance Aware Optimization of Parameterized Queries
Surajit Chaudhuri, Vivek Narasayya, Hongrae Lee
ACM SIGMOD | June 2010
ACM SIGMOD
Publications by Type
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Wred: Workload Reduction for Scalable Index Tuning
Matteo Brucato, Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | March 2024, Vol 2(1)
Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server
Kukjin Lee, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
PVLDB | September 2023, Vol 16(11): pp. 2871-2883
Database Application Developer Tools Using Static Analysis and Dynamic Profiling
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
IEEE Data Eng. Bull. | March 2014, Vol 37: pp. 38-47
Experiences with using Data Cleaning Technology for Bing Services
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | June 2012
AutoAdmin Project at Microsoft Research: Lessons Learned
Surajit Chaudhuri, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala, Nicolas Bruno (nicolasbruno)
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering | December 2011
Rethinking Query Processing for Energy Efficiency: Slowing Down to Win the Race.
Nicolas Bruno, Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala
IEEE Data(base) Engineering Bulletin | November 2011, Vol 34: pp. 12-19
Towards a Domain Independent Platform for Data Cleaning
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | September 2011
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Overcoming Limitations of Sampling for Aggregation Queries
Mayur Datar, Rajeev Motwani, Vivek Narasayya, Gautam Das, Surajit Chaudhuri
17th International Conference on Data Engineering | April 2001
Automated Selection of Materialized Views and Indexes for SQL Databases.
Sanjay Agrawal, Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2000
VLDB
Automating Statistics Management for Query Optimizers
Surajit Chaudhuri, Vivek Narasayya
16th International Conference on Data Engineering | March 2000
16th International Conference on Data Engineering
On Random Sampling over Joins
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1999
Index Merging
Surajit Chaudhuri, Vivek Narasayya
15th International Conference on Data Engineering | April 1999
AutoAdmin “What-If” Index Analysis Utility
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 1998
Random Sampling for Histogram Construction: How Much is Enough?
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1998
The Microsoft Database Research Group
Surajit Chaudhuri, Per-Ake Larson, Vivek Narasayya, David Lomet, , Paul Larson
January 1998
An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
VLDB | August 1997
Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets
Tarique Siddiqui, Vivek Narasayya, Marius Dumitru, Surajit Chaudhuri
Proceedings of the VLDB Endowment (VLDB 2024) | December 2023
Flexible Resource Allocation for Relational Database-as-a-Service
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
49th International Conference on Very Large Data Bases | October 2023
Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service
Arnd Christian König, Yi Shan, Karan Newatia, Luke Marshall, Vivek Narasayya
50th International Conference on Very Large Databases | September 2023
Tenant Placement in Over-subscribed Database-as-a-Service Clusters
Arnd Christian König, Yi Shan, Tobias Ziegler, Aarati Kakaraparthy, Willis Lang, Justin Moeller, Ajay Kalhan, Vivek Narasayya
48th International Conference on Very Large Databases | September 2022
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
VLDB 2022 | August 2022
Budget-aware Index Tuning with Reinforcement Learning (Extended Version)
Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek Narasayya, Surajit Chaudhuri, Phil Bernstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
ACM SIGMOD 2022 | June 2022
PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
Leveraging query logs and machine learning for parametric query optimization
Kapil Vaidya, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | November 2021
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems
Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek Narasayya
VLDB 2022 | October 2021
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models
Anshuman Dutt, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
46th International Conference on Very Large Data Bases (VLDB 2020) | August 2020
Bitvector-aware Query Optimization for Decision Support Queries
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data | June 2020
Customizable and Scalable Fuzzy Join for Big Data
Zhimin Chen, Yue Wang, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Data Bases (PVLDB) | August 2019
Selectivity Estimation for Range Predicates using Lightweight Models
Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek Narasayya, Surajit Chaudhuri
45th International Conference on Very Large Data Bases (VLDB 2019) | August 2019
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database
Sudipto Das, Miroslav Grbic, Igor Ilic, Isidora Jovandic, Andrija Jovanovic, Vivek Narasayya, Miodrag Radulovic, Maja Stikic, Gaoxiang Xu, Surajit Chaudhuri
ACM SIGMOD Conference | June 2019
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
Yeye He, Kris Ganjam, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2018
Plan Stitch: Harnessing the Best of Many Plans
Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2018) | July 2018
Columnstore and B+ tree – Are Hybrid Physical Designs Important?
Adam Dziedzic , Jingjing Wang, Sudipto Das, Bolin Ding, Vivek Narasayya, Manoj Syamala
ACM International Conference on Management of Data (SIGMOD) 2018 | June 2018
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel
Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek Narasayya, Surajit Chaudhuri, Xu Chu
International Conference on Management of Data (SIGMOD) | June 2018
Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees
Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
International Conference on Management of Data (SIGMOD) | May 2017
Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics
Kukjin Lee, Arnd Christian König, Vivek Narasayya, Bolin Ding, Surajit Chaudhuri, Brent Ellwein, Alexey Eksarevskiy, Manbeen Kohli, Jacob Wyant, Praneeta Prakash, Rimma Nehme, Jiexing Li, Jeff Naughton
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016)
Accelerating Relational Databases by Leveraging Remote Memory and RDMA
Feng Li, Sudipto Das, Manoj Syamala, Vivek Narasayya
ACM International Conference on Management of Data (SIGMOD) 2016 | June 2016
Automated Demand-driven Resource Scaling in Relational Database-as-a-Service
Sudipto Das, Feng Li, Vivek Narasayya, Arnd Christian König
ACM International Conference on Management of Data (SIGMOD) 2016 | June 2016
Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Ishai Menache, Mohit Singh, Feng Li, Manoj Syamala, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2015
AutoTag’n Search My Photos: Leveraging the Social Graph for Photo Tagging
Shobana Balakrishnan, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the 24th International Conference on World Wide Web Conference | May 2015
Fast foreign-key detection in Microsoft SQL server PowerPivot for Excel
Zhimin Chen, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2014
CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service
Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala
Proceedings of the VLDB Endowment | September 2013
A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Surajit Chaudhuri, Feng Li, Hyunjung Park
SIGMOD 2013 | June 2013
SIGMOD 2013
ISBN: 978-1-4503-2037-5
Data Services for E-tailers Leveraging Web Search Engine Assets
Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
ICDE Conference | April 2013
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
CIDR 2013 | January 2013
Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques
Jiexing Li, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Surajit Chaudhuri
38th International Conference on Very Large Databases | August 2012
A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Surajit Chaudhuri, Vivek Narasayya, Bolin Ding
38th International Conference on Very Large Databases | January 2012
A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment, the 38th International Conference on Very Large Data Bases (VLDB 2012) | January 2012
Variance Aware Optimization of Parameterized Queries
Surajit Chaudhuri, Vivek Narasayya, Hongrae Lee
ACM SIGMOD | June 2010
ACM SIGMOD
Workload Driven Index Defragmentation
Vivek Narasayya, Manoj Syamala
International Conference on Data Engineering (ICDE) | March 2010
Estimating the Compression Fraction of an Index Using Sampling
Vivek Narasayya, Ravi Ramamurthy, Raghav Kaushik, Stratos Idreos
International Conference on Data Engineering (ICDE) | March 2010
International Conference on Data Engineering (ICDE)
Rule Profiling for Query Optimizers and their Implications
Surajit Chaudhuri, Leo Giakoumakis, Vivek Narasayya, Ravi Ramamurthy
International Conference of Data Engineering (ICDE) | March 2010
A Framework for Testing Query Transformation Rules
Vivek Narasayya, Ravi Ramamurthy, Hicham Elmongui
June 2009
A Static Analysis Framework for Database Applications
Vivek Narasayya, Manoj Syamala, Arjun Dasgupta
International Conference on Data Engineering (ICDE) | April 2009
A Pay-As-You-Go Framework for Query Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
VLDB | August 2008
Diagnosing Estimation Errors in Page Counts using Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
24th International Conference on Data Engineering | April 2008
24th International Conference on Data Engineering
Bridging the Application and DBMS Profiling Divide for Database Application Developers
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
VLDB | September 2007
VLDB
Self-Tuning Database Systems: A Decade of Progress
Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2007
Automating Physical Database Design: Workload as a Sequence
Sanjay Agrawal, Eric Chu, Vivek Narasayya
SIGMOD | June 2006
AutoAdmin: Self-Tuning Database Systems Technology
Sanjay Agrawal, Nicolas Bruno, Surajit Chaudhuri, Vivek Narasayya
Data Engineering Bulletin | January 2006
Data Cleaning in Microsoft SQL Server 2005
Surajit Chaudhuri, Kris Ganjam, Rahul Kapoor, Vivek Narasayya, Theo Vassilakis
SIGMOD | June 2005
Efficient Computation of Multiple Group-By Queries
Vivek Narasayya, Zhimin Chen
SIGMOD | June 2005
Database Tuning Advisor for Microsoft SQL Server 2005
Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollar, Arun Marathe, Vivek Narasayya, Manoj Syamala
VLDB | August 2004
Estimating Progress of Execution for SQL Queries
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
SIGMOD | June 2004
Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design
Sanjay Agrawal, Vivek Narasayya, Beverly Yang
SIGMOD | June 2004
SQLCM: A Contiuous Monitoring Framework for Relational Database Engines
Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya
20th International Conference on Data Engineering | March 2004
20th International Conference on Data Engineering
Primitives for Workload Summarization and Implications for SQL
Surajit Chaudhuri, Prasanna Ganesan, Vivek Narasayya
VLDB | September 2003
VLDB
Compressing SQL Workloads
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 2002
Efficient Evaluation of Queries with Mining Predicates
Surajit Chaudhuri, Sunita Sarawagi, Vivek Narasayya
Proceedings of 18th International Conference on Data Engineering | January 2002
-
A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries
Surajit Chaudhuri, Gautam Das, Vivek Narasayya
MSR-TR-2001-37 | May 2001
Technical Report UU-CS-2001-35, Departement of Computer Science, Universiteit Utrecht
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2021-13 | July 2021
Published by Microsoft Research
Bitvector-aware Query Optimization for Decision Support Queries (extended version)
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2020-8 | April 2020
Published by Microsoft
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