Vivek R. Narasayya

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 34

Top Topics

Relational Data

Decision Support

Cardinality Estimation

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Proc. ACM Manag. Data

Publications

Matteo Brucato, Tarique Siddiqui, Wentao Wu, Vivek R. Narasayya, Surajit Chaudhuri
Wred: Workload Reduction for Scalable Index Tuning. Proc. ACM Manag. Data 2 (1) (2024)
Xiaoying Wang, Wentao Wu, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri
Wii: Dynamic Budget Reallocation In Index Tuning. Proc. ACM Manag. Data 2 (3) (2024)
Tarique Siddiqui, Vivek R. Narasayya, Marius Dumitru, Surajit Chaudhuri
Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets. Proc. VLDB Endow. 17 (4) (2023)
Kukjin Lee, Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri
Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server. Proc. VLDB Endow. 16 (11) (2023)
Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning. SIGMOD Conference (2022)
Yue Wang, Vivek R. Narasayya, Yeye He, Surajit Chaudhuri
PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication. Proc. VLDB Endow. 15 (6) (2022)
Tarique Siddiqui, Wentao Wu, Vivek R. Narasayya, Surajit Chaudhuri
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning. Proc. VLDB Endow. 15 (10) (2022)
Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek R. Narasayya, Surajit Chaudhuri, Philip A. Bernstein
Budget-aware Index Tuning with Reinforcement Learning. SIGMOD Conference (2022)
Vivek R. Narasayya, Surajit Chaudhuri
Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities. SIGMOD Conference (2022)
Tarique Siddiqui, Surajit Chaudhuri, Vivek R. Narasayya
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics. Proc. VLDB Endow. 14 (11) (2021)
Tarique Siddiqui, Surajit Chaudhuri, Vivek R. Narasayya
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics. CoRR (2021)
Kapil Vaidya, Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri
Leveraging Query Logs and Machine Learning for Parametric Query Optimization. Proc. VLDB Endow. 15 (3) (2021)
Vivek R. Narasayya, Surajit Chaudhuri
Cloud Data Services: Workloads, Architectures and Multi-Tenancy. Found. Trends Databases 10 (1) (2021)
Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek R. Narasayya
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems. Proc. VLDB Endow. 14 (13) (2021)
Rahul Potharaju, Terry Kim, Eunjin Song, Wentao Wu, Lev Novik, Apoorve Dave, Pouria Pirzadeh, Andrew Fogarty, Gurleen Dhody, Jiying Li, Vidip Acharya, Sinduja Ramanujam, Nicolas Bruno, César A. Galindo-Legaria, Vivek R. Narasayya, Surajit Chaudhuri, Anil Nori, Tomas Talius, Raghu Ramakrishnan
Hyperspace: The Indexing Subsystem of Azure Synapse. Proc. VLDB Endow. 14 (12) (2021)
Anshuman Dutt, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models. Proc. VLDB Endow. 13 (11) (2020)
Bailu Ding, Surajit Chaudhuri, Vivek R. Narasayya
Bitvector-aware Query Optimization for Decision Support Queries (extended version). CoRR (2020)
Bailu Ding, Surajit Chaudhuri, Vivek R. Narasayya
Bitvector-aware Query Optimization for Decision Support Queries. SIGMOD Conference (2020)
Zhimin Chen, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri
Customizable and Scalable Fuzzy Join for Big Data. Proc. VLDB Endow. 12 (12) (2019)
Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek R. Narasayya, Surajit Chaudhuri
Selectivity Estimation for Range Predicates using Lightweight Models. Proc. VLDB Endow. 12 (9) (2019)
Sudipto Das, Miroslav Grbic, Igor Ilic, Isidora Jovandic, Andrija Jovanovic, Vivek R. Narasayya, Miodrag Radulovic, Maja Stikic, Gaoxiang Xu, Surajit Chaudhuri
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database. SIGMOD Conference (2019)
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations. SIGMOD Conference (2019)
Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek R. Narasayya, Surajit Chaudhuri
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations. Proc. VLDB Endow. 11 (10) (2018)
Calin Iorgulescu, Reza Azimi, Youngjin Kwon, Sameh Elnikety, Manoj Syamala, Vivek R. Narasayya, Herodotos Herodotou, Paulo Tomita, Alex Chen, Jack Zhang, Junhua Wang
PerfIso: Performance Isolation for Commercial Latency-Sensitive Services. USENIX Annual Technical Conference (2018)
Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya
Plan Stitch: Harnessing the Best of Many Plans. Proc. VLDB Endow. 11 (10) (2018)
Adam Dziedzic, Jingjing Wang, Sudipto Das, Bolin Ding, Vivek R. Narasayya, Manoj Syamala
Columnstore and B+ tree - Are Hybrid Physical Designs Important? SIGMOD Conference (2018)
Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri, Xu Chu, Yudian Zheng
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel. SIGMOD Conference (2018)
Azade Nazi, Bolin Ding, Vivek R. Narasayya, Surajit Chaudhuri
Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches. Proc. VLDB Endow. 11 (10) (2018)
Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri
Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees. SIGMOD Conference (2017)
Sudipto Das, Feng Li, Vivek R. Narasayya, Arnd Christian König
Automated Demand-driven Resource Scaling in Relational Database-as-a-Service. SIGMOD Conference (2016)
Feng Li, Sudipto Das, Manoj Syamala, Vivek R. Narasayya
Accelerating Relational Databases by Leveraging Remote Memory and RDMA. SIGMOD Conference (2016)
Kukjin Lee, Arnd Christian König, Vivek R. Narasayya, Bolin Ding, Surajit Chaudhuri, Brent Ellwein, Alexey Eksarevskiy, Manbeen Kohli, Jacob Wyant, Praneeta Prakash, Rimma V. Nehme, Jiexing Li, Jeffrey F. Naughton
Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics. SIGMOD Conference (2016)
Vivek R. Narasayya, Ishai Menache, Mohit Singh, Feng Li, Manoj Syamala, Surajit Chaudhuri
Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service. Proc. VLDB Endow. 8 (7) (2015)
Shobana Balakrishnan, Surajit Chaudhuri, Vivek R. Narasayya
AutoTag 'n Search My Photos: Leveraging the Social Graph for Photo Tagging. WWW (Companion Volume) (2015)
Zhimin Chen, Vivek R. Narasayya, Surajit Chaudhuri
Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel. Proc. VLDB Endow. 7 (13) (2014)
Surajit Chaudhuri, Vivek R. Narasayya, Manoj Syamala
Database Application Developer Tools Using Static Analysis and Dynamic Profiling. IEEE Data Eng. Bull. 37 (1) (2014)
Vivek R. Narasayya, Sudipto Das, Manoj Syamala, Surajit Chaudhuri, Feng Li, Hyunjung Park
A demonstration of SQLVM: performance isolation in multi-tenant relational database-as-a-service. SIGMOD Conference (2013)
Vivek R. Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service. CIDR (2013)
Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek R. Narasayya, Manoj Syamala
Data services for E-tailers leveraging web search engine assets. ICDE (2013)
Sudipto Das, Vivek R. Narasayya, Feng Li, Manoj Syamala
CPU Sharing Techniques for Performance Isolation in Multitenant Relational Database-as-a-Service. Proc. VLDB Endow. 7 (1) (2013)
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek R. Narasayya
Experiences with using Data Cleaning Technology for Bing Services. IEEE Data Eng. Bull. 35 (2) (2012)
Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek R. Narasayya
A Statistical Approach Towards Robust Progress Estimation CoRR (2012)
Jiexing Li, Arnd Christian König, Vivek R. Narasayya, Surajit Chaudhuri
Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques CoRR (2012)
Jiexing Li, Arnd Christian König, Vivek R. Narasayya, Surajit Chaudhuri
Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques. Proc. VLDB Endow. 5 (11) (2012)
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek R. Narasayya
Towards a Domain Independent Platform for Data Cleaning. IEEE Data Eng. Bull. 34 (3) (2011)
Hideaki Kimura, Vivek R. Narasayya, Manoj Syamala
Compression Aware Physical Database Design. Proc. VLDB Endow. 4 (10) (2011)
Hideaki Kimura, Vivek R. Narasayya, Manoj Syamala
Compression Aware Physical Database Design CoRR (2011)
Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek R. Narasayya
A Statistical Approach Towards Robust Progress Estimation. Proc. VLDB Endow. 5 (4) (2011)
Nicolas Bruno, Surajit Chaudhuri, Arnd Christian König, Vivek R. Narasayya, Ravishankar Ramamurthy, Manoj Syamala
AutoAdmin Project at Microsoft Research: Lessons Learned. IEEE Data Eng. Bull. 34 (4) (2011)
Surajit Chaudhuri, Umeshwar Dayal, Vivek R. Narasayya
An overview of business intelligence technology. Commun. ACM 54 (8) (2011)
Surajit Chaudhuri, Vivek R. Narasayya
New Frontiers in Business Intelligence. Proc. VLDB Endow. 4 (12) (2011)
Vivek R. Narasayya, Hyunjung Park, Manoj Syamala
Automatic Workload Driven Index Defragmentation. Proc. VLDB Endow. 4 (12) (2011)
Nicolas Bruno, Vivek R. Narasayya, Ravishankar Ramamurthy
Slicing Long-Running Queries. Proc. VLDB Endow. 3 (1) (2010)
Surajit Chaudhuri, Leo Giakoumakis, Vivek R. Narasayya, Ravishankar Ramamurthy
Rule profiling for query optimizers and their implications. ICDE (2010)
Vivek R. Narasayya, Manoj Syamala
Workload driven index defragmentation. ICDE (2010)
Stratos Idreos, Raghav Kaushik, Vivek R. Narasayya, Ravishankar Ramamurthy
Estimating the compression fraction of an index using sampling. ICDE (2010)
Surajit Chaudhuri, Hongrae Lee, Vivek R. Narasayya
Variance aware optimization of parameterized queries. SIGMOD Conference (2010)
Arjun Dasgupta, Vivek R. Narasayya, Manoj Syamala
A Static Analysis Framework for Database Applications. ICDE (2009)
Surajit Chaudhuri, Vivek R. Narasayya, Manoj Syamala
Bridging the application and DBMS divide using static analysis and dynamic profiling. SIGMOD Conference (2009)
Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar Ramamurthy
Exact Cardinality Query Optimization for Optimizer Testing. Proc. VLDB Endow. 2 (1) (2009)
Hicham G. Elmongui, Vivek R. Narasayya, Ravishankar Ramamurthy
A framework for testing query transformation rules. SIGMOD Conference (2009)
Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar Ramamurthy
A pay-as-you-go framework for query execution feedback. Proc. VLDB Endow. 1 (1) (2008)
Anastassia Ailamaki, Shivnath Babu, Pedro Furtado, Sam Lightstone, Guy M. Lohman, Patrick Martin, Vivek R. Narasayya, Glenn Pauley, Kenneth Salem, Kai-Uwe Sattler, Gerhard Weikum
Report: 3rd Int'l Workshop on Self-Managing Database Systems (SMDB 2008). IEEE Data Eng. Bull. 31 (4) (2008)
Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar Ramamurthy
Diagnosing Estimation Errors in Page Counts Using Execution Feedback. ICDE (2008)
Surajit Chaudhuri, Vivek R. Narasayya
Self-Tuning Database Systems: A Decade of Progress. VLDB (2007)
Surajit Chaudhuri, Gautam Das, Vivek R. Narasayya
Optimized stratified sampling for approximate query processing. ACM Trans. Database Syst. 32 (2) (2007)
Surajit Chaudhuri, Vivek R. Narasayya, Manoj Syamala
Bridging the Application and DBMS Profiling Divide for Database Application Developers. VLDB (2007)
Sanjay Agrawal, Eric Chu, Vivek R. Narasayya
Automatic physical design tuning: workload as a sequence. SIGMOD Conference (2006)
Sanjay Agrawal, Nicolas Bruno, Surajit Chaudhuri, Vivek R. Narasayya
AutoAdmin: Self-Tuning Database SystemsTechnology. IEEE Data Eng. Bull. 29 (3) (2006)
Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollár, Arunprasad P. Marathe, Vivek R. Narasayya, Manoj Syamala
Database tuning advisor for microsoft SQL server 2005: demo. SIGMOD Conference (2005)
Surajit Chaudhuri, Kris Ganjam, Venkatesh Ganti, Rahul Kapoor, Vivek R. Narasayya, Theo Vassilakis
Data cleaning in microsoft SQL server 2005. SIGMOD Conference (2005)
Zhimin Chen, Vivek R. Narasayya
Efficient Computation of Multiple Group By Queries. SIGMOD Conference (2005)
Surajit Chaudhuri, Arnd Christian König, Vivek R. Narasayya
SQLCM: A Continuous Monitoring Framework for Relational Database Engines. ICDE (2004)
Surajit Chaudhuri, Vivek R. Narasayya, Sunita Sarawagi
Extracting predicates from mining models for efficient query evaluation. ACM Trans. Database Syst. 29 (3) (2004)
Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar Ramamurthy
Estimating Progress of Long Running SQL Queries. SIGMOD Conference (2004)
Surajit Chaudhuri, Mayur Datar, Vivek R. Narasayya
Index Selection for Databases: A Hardness Study and a Principled Heuristic Solution. IEEE Trans. Knowl. Data Eng. 16 (11) (2004)
Sanjay Agrawal, Vivek R. Narasayya, Beverly Yang
Integrating Vertical and Horizontal Partitioning Into Automated Physical Database Design. SIGMOD Conference (2004)
Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollár, Arunprasad P. Marathe, Vivek R. Narasayya, Manoj Syamala
Database Tuning Advisor for Microsoft SQL Server 2005. VLDB (2004)
Rakesh Agrawal, Surajit Chaudhuri, Abhinandan Das, Vivek R. Narasayya
Automating Layout of Relational Databases. ICDE (2003)
Surajit Chaudhuri, Prasanna Ganesan, Vivek R. Narasayya
Primitives for Workload Summarization and Implications for SQL. VLDB (2003)
Surajit Chaudhuri, Vivek R. Narasayya, Sunita Sarawagi
Efficient Evaluation of Queries with Mining Predicates. ICDE (2002)
Surajit Chaudhuri, Ashish Kumar Gupta, Vivek R. Narasayya
Compressing SQL workloads. SIGMOD Conference (2002)
Surajit Chaudhuri, Gautam Das, Vivek R. Narasayya
A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries. SIGMOD Conference (2001)
Surajit Chaudhuri, Vivek R. Narasayya
Automating Statistics Management for Query Optimizers. IEEE Trans. Knowl. Data Eng. 13 (1) (2001)
Surajit Chaudhuri, Vivek R. Narasayya
Correction to 'Automating Statistics Management for Query Optimizers'. IEEE Trans. Knowl. Data Eng. 13 (3) (2001)
Surajit Chaudhuri, Gautam Das, Mayur Datar, Rajeev Motwani, Vivek R. Narasayya
Overcoming Limitations of Sampling for Aggregation Queries. ICDE (2001)
Sanjay Agrawal, Surajit Chaudhuri, Vivek R. Narasayya
Materialized View and Index Selection Tool for Microsoft SQL Server 2000. SIGMOD Conference (2001)
Surajit Chaudhuri, Vivek R. Narasayya
Automating Statistics Management for Query Optimizers. ICDE (2000)
Sanjay Agrawal, Surajit Chaudhuri, Vivek R. Narasayya
Automated Selection of Materialized Views and Indexes in SQL Databases. VLDB (2000)
Moses Charikar, Surajit Chaudhuri, Rajeev Motwani, Vivek R. Narasayya
Towards Estimation Error Guarantees for Distinct Values. PODS (2000)
Surajit Chaudhuri, Eric Christensen, Goetz Graefe, Vivek R. Narasayya, Michael J. Zwilling
Self-Tuning Technology in Microsoft SQL Server. IEEE Data Eng. Bull. 22 (2) (1999)
Surajit Chaudhuri, Vivek R. Narasayya
Index Merging. ICDE (1999)
Surajit Chaudhuri, Rajeev Motwani, Vivek R. Narasayya
On Random Sampling over Joins. SIGMOD Conference (1999)
David B. Lomet, Roger S. Barga, Surajit Chaudhuri, Per-Åke Larson, Vivek R. Narasayya
The Microsoft Database Research Group. SIGMOD Rec. 27 (3) (1998)
Surajit Chaudhuri, Rajeev Motwani, Vivek R. Narasayya
Random Sampling for Histogram Construction: How much is enough? SIGMOD Conference (1998)
Surajit Chaudhuri, Vivek R. Narasayya
Microsoft Index Tuning Wizard for SQL Server 7.0. SIGMOD Conference (1998)
Surajit Chaudhuri, Vivek R. Narasayya
AutoAdmin 'What-if' Index Analysis Utility. SIGMOD Conference (1998)
Surajit Chaudhuri, Vivek R. Narasayya
An Efficient Cost-Driven Index Selection Tool for Microsoft SQL Server. VLDB (1997)
Michael J. Feeley, Jeffrey S. Chase, Vivek R. Narasayya, Henry M. Levy
Integrating Coherency and Recoverability in Distributed Systems. OSDI (1994)