Vivek R. Narasayya

According to our database, Vivek R. Narasayya authored at least 99 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Wred: Workload Reduction for Scalable Index Tuning.

Matteo Brucato, Tarique Siddiqui, Wentao Wu, Vivek R. Narasayya, Surajit Chaudhuri

Proc. ACM Manag. Data, February, 2024

Wii: Dynamic Budget Reallocation In Index Tuning.

Xiaoying Wang, Wentao Wu, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri

Proc. ACM Manag. Data, 2024

2023

Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets.

Tarique Siddiqui, Vivek R. Narasayya, Marius Dumitru, Surajit Chaudhuri

Proc. VLDB Endow., December, 2023

Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server.

Kukjin Lee, Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri

Proc. VLDB Endow., 2023

Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service.

Arnd Christian König, Yi Shan, Karan Newatia, Luke Marshall, Vivek R. Narasayya

Proc. VLDB Endow., 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 R. Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois

Proc. VLDB Endow., 2023

2022

PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication.

Yue Wang, Vivek R. Narasayya, Yeye He, Surajit Chaudhuri

Proc. VLDB Endow., 2022

DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning.

Tarique Siddiqui, Wentao Wu, Vivek R. Narasayya, Surajit Chaudhuri

Proc. VLDB Endow., 2022

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 R. Narasayya

Proc. VLDB Endow., 2022

ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning.

Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities.

Vivek R. Narasayya, Surajit Chaudhuri

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Budget-aware Index Tuning with Reinforcement Learning.

Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek R. Narasayya, Surajit Chaudhuri, Philip A. Bernstein

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

Leveraging Query Logs and Machine Learning for Parametric Query Optimization.

Kapil Vaidya, Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri

Proc. VLDB Endow., 2021

COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics.

Tarique Siddiqui, Surajit Chaudhuri, Vivek R. Narasayya

Proc. VLDB Endow., 2021

Hyperspace: The Indexing Subsystem of Azure Synapse.

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

Proc. VLDB Endow., 2021

DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems.

Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek R. Narasayya

Proc. VLDB Endow., 2021

Cloud Data Services: Workloads, Architectures and Multi-Tenancy.

Vivek R. Narasayya, Surajit Chaudhuri

Found. Trends Databases, 2021

2020

Efficiently Approximating Selectivity Functions using Low Overhead Regression Models.

Anshuman Dutt, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri

Proc. VLDB Endow., 2020

Bitvector-aware Query Optimization for Decision Support Queries (extended version).

Bailu Ding, Surajit Chaudhuri, Vivek R. Narasayya

CoRR, 2020

Bitvector-aware Query Optimization for Decision Support Queries.

Bailu Ding, Surajit Chaudhuri, Vivek R. Narasayya

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Selectivity Estimation for Range Predicates using Lightweight Models.

Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek R. Narasayya, Surajit Chaudhuri

Proc. VLDB Endow., 2019

Customizable and Scalable Fuzzy Join for Big Data.

Zhimin Chen, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri

Proc. VLDB Endow., 2019

AI Meets AI: Leveraging Query Executions to Improve Index Recommendations.

Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya

Proceedings of the 2019 International Conference on Management of Data, 2019

Automatically Indexing Millions of Databases in Microsoft Azure SQL Database.

Sudipto Das, Miroslav Grbic, Igor Ilic, Isidora Jovandic, Andrija Jovanovic, Vivek R. Narasayya, Miodrag Radulovic, Maja Stikic, Gaoxiang Xu, Surajit Chaudhuri

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

Database Tuning Using Combinatorial Search.

Surajit Chaudhuri, Vivek R. Narasayya, Gerhard Weikum

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches.

Azade Nazi, Bolin Ding, Vivek R. Narasayya, Surajit Chaudhuri

Proc. VLDB Endow., 2018

Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations.

Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek R. Narasayya, Surajit Chaudhuri

Proc. VLDB Endow., 2018

Plan Stitch: Harnessing the Best of Many Plans.

Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya

Proc. VLDB Endow., 2018

PerfIso: Performance Isolation for Commercial Latency-Sensitive Services.

Calin Iorgulescu, Reza Azimi, Youngjin Kwon, Sameh Elnikety, Manoj Syamala, Vivek R. Narasayya, Herodotos Herodotou, Paulo Tomita, Alex Chen, Jack Zhang, Junhua Wang

Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel.

Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri, Xu Chu, Yudian Zheng

Proceedings of the 2018 International Conference on Management of Data, 2018

Columnstore and B+ tree - Are Hybrid Physical Designs Important?

Adam Dziedzic, Jingjing Wang, Sudipto Das, Bolin Ding, Vivek R. Narasayya, Manoj Syamala

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees.

Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016

Accelerating Relational Databases by Leveraging Remote Memory and RDMA.

Feng Li, Sudipto Das, Manoj Syamala, Vivek R. Narasayya

Proceedings of the 2016 International Conference on Management of Data, 2016

Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics.

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

Proceedings of the 2016 International Conference on Management of Data, 2016

Automated Demand-driven Resource Scaling in Relational Database-as-a-Service.

Sudipto Das, Feng Li, Vivek R. Narasayya, Arnd Christian König

Proceedings of the 2016 International Conference on Management of Data, 2016

2015

Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service.

Vivek R. Narasayya, Ishai Menache, Mohit Singh, Feng Li, Manoj Syamala, Surajit Chaudhuri

Proc. VLDB Endow., 2015

AutoTag 'n Search My Photos: Leveraging the Social Graph for Photo Tagging.

Shobana Balakrishnan, Surajit Chaudhuri, Vivek R. Narasayya

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

2014

Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel.

Zhimin Chen, Vivek R. Narasayya, Surajit Chaudhuri

Proc. VLDB Endow., 2014

Database Application Developer Tools Using Static Analysis and Dynamic Profiling.

Surajit Chaudhuri, Vivek R. Narasayya, Manoj Syamala

IEEE Data Eng. Bull., 2014

2013

CPU Sharing Techniques for Performance Isolation in Multitenant Relational Database-as-a-Service.

Sudipto Das, Vivek R. Narasayya, Feng Li, Manoj Syamala

Proc. VLDB Endow., 2013

A demonstration of SQLVM: performance isolation in multi-tenant relational database-as-a-service.

Vivek R. Narasayya, Sudipto Das, Manoj Syamala, Surajit Chaudhuri, Feng Li, Hyunjung Park

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Data services for E-tailers leveraging web search engine assets.

Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek R. Narasayya, Manoj Syamala

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service.

Vivek R. Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri

Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

2012

Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques.

Jiexing Li, Arnd Christian König, Vivek R. Narasayya, Surajit Chaudhuri

Proc. VLDB Endow., 2012

Experiences with using Data Cleaning Technology for Bing Services.

Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek R. Narasayya

IEEE Data Eng. Bull., 2012

2011

Automatic Workload Driven Index Defragmentation.

Vivek R. Narasayya, Hyunjung Park, Manoj Syamala

Proc. VLDB Endow., 2011

A Statistical Approach Towards Robust Progress Estimation.

Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek R. Narasayya

Proc. VLDB Endow., 2011

Compression Aware Physical Database Design.

Hideaki Kimura, Vivek R. Narasayya, Manoj Syamala

Proc. VLDB Endow., 2011

New Frontiers in Business Intelligence.

Surajit Chaudhuri, Vivek R. Narasayya

Proc. VLDB Endow., 2011

AutoAdmin Project at Microsoft Research: Lessons Learned.

Nicolas Bruno, Surajit Chaudhuri, Arnd Christian König, Vivek R. Narasayya, Ravishankar Ramamurthy, Manoj Syamala

IEEE Data Eng. Bull., 2011

Towards a Domain Independent Platform for Data Cleaning.

Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek R. Narasayya

IEEE Data Eng. Bull., 2011

An overview of business intelligence technology.

Surajit Chaudhuri, Umeshwar Dayal, Vivek R. Narasayya

Commun. ACM, 2011

2010

Slicing Long-Running Queries.

Nicolas Bruno, Vivek R. Narasayya, Ravishankar Ramamurthy

Proc. VLDB Endow., 2010

Variance aware optimization of parameterized queries.

Surajit Chaudhuri, Hongrae Lee, Vivek R. Narasayya

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Workload driven index defragmentation.

Vivek R. Narasayya, Manoj Syamala

Proceedings of the 26th International Conference on Data Engineering, 2010

Estimating the compression fraction of an index using sampling.

Stratos Idreos, Raghav Kaushik, Vivek R. Narasayya, Ravishankar Ramamurthy

Proceedings of the 26th International Conference on Data Engineering, 2010

Rule profiling for query optimizers and their implications.

Surajit Chaudhuri, Leo Giakoumakis, Vivek R. Narasayya, Ravishankar Ramamurthy

Proceedings of the 26th International Conference on Data Engineering, 2010

2009

Database Tuning using Combinatorial Search.

Surajit Chaudhuri, Vivek R. Narasayya, Gerhard Weikum

Proceedings of the Encyclopedia of Database Systems, 2009

Exact Cardinality Query Optimization for Optimizer Testing.

Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar Ramamurthy

Proc. VLDB Endow., 2009

A framework for testing query transformation rules.

Hicham G. Elmongui, Vivek R. Narasayya, Ravishankar Ramamurthy

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Bridging the application and DBMS divide using static analysis and dynamic profiling.

Surajit Chaudhuri, Vivek R. Narasayya, Manoj Syamala

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

A Static Analysis Framework for Database Applications.

Arjun Dasgupta, Vivek R. Narasayya, Manoj Syamala

Proceedings of the 25th International Conference on Data Engineering, 2009

2008

A pay-as-you-go framework for query execution feedback.

Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar Ramamurthy

Proc. VLDB Endow., 2008

Report: 3rd Int'l Workshop on Self-Managing Database Systems (SMDB 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

IEEE Data Eng. Bull., 2008

Diagnosing Estimation Errors in Page Counts Using Execution Feedback.

Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar Ramamurthy

Proceedings of the 24th International Conference on Data Engineering, 2008

2007

Optimized stratified sampling for approximate query processing.

Surajit Chaudhuri, Gautam Das, Vivek R. Narasayya

ACM Trans. Database Syst., 2007

Bridging the Application and DBMS Profiling Divide for Database Application Developers.

Surajit Chaudhuri, Vivek R. Narasayya, Manoj Syamala

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Self-Tuning Database Systems: A Decade of Progress.

Surajit Chaudhuri, Vivek R. Narasayya

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

2006

AutoAdmin: Self-Tuning Database SystemsTechnology.

Sanjay Agrawal, Nicolas Bruno, Surajit Chaudhuri, Vivek R. Narasayya

IEEE Data Eng. Bull., 2006

Automatic physical design tuning: workload as a sequence.

Sanjay Agrawal, Eric Chu, Vivek R. Narasayya

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

2005

Efficient Computation of Multiple Group By Queries.

Zhimin Chen, Vivek R. Narasayya

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Data cleaning in microsoft SQL server 2005.

Surajit Chaudhuri, Kris Ganjam, Venkatesh Ganti, Rahul Kapoor, Vivek R. Narasayya, Theo Vassilakis

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Database tuning advisor for microsoft SQL server 2005: demo.

Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollár, Arunprasad P. Marathe, Vivek R. Narasayya, Manoj Syamala

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

2004

Extracting predicates from mining models for efficient query evaluation.

Surajit Chaudhuri, Vivek R. Narasayya, Sunita Sarawagi

ACM Trans. Database Syst., 2004

Index Selection for Databases: A Hardness Study and a Principled Heuristic Solution.

Surajit Chaudhuri, Mayur Datar, Vivek R. Narasayya

IEEE Trans. Knowl. Data Eng., 2004

Database Tuning Advisor for Microsoft SQL Server 2005.

Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollár, Arunprasad P. Marathe, Vivek R. Narasayya, Manoj Syamala

Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

Estimating Progress of Long Running SQL Queries.

Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar Ramamurthy

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Integrating Vertical and Horizontal Partitioning Into Automated Physical Database Design.

Sanjay Agrawal, Vivek R. Narasayya, Beverly Yang

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

SQLCM: A Continuous Monitoring Framework for Relational Database Engines.

Surajit Chaudhuri, Arnd Christian König, Vivek R. Narasayya

Proceedings of the 20th International Conference on Data Engineering, 2004

2003

Primitives for Workload Summarization and Implications for SQL.

Surajit Chaudhuri, Prasanna Ganesan, Vivek R. Narasayya

Proceedings of 29th International Conference on Very Large Data Bases, 2003

Automating Layout of Relational Databases.

Rakesh Agrawal, Surajit Chaudhuri, Abhinandan Das, Vivek R. Narasayya

Proceedings of the 19th International Conference on Data Engineering, 2003

2002

Compressing SQL workloads.

Surajit Chaudhuri, Ashish Kumar Gupta, Vivek R. Narasayya

Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, 2002

Efficient Evaluation of Queries with Mining Predicates.

Surajit Chaudhuri, Vivek R. Narasayya, Sunita Sarawagi

Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

2001

Correction to 'Automating Statistics Management for Query Optimizers'.

Surajit Chaudhuri, Vivek R. Narasayya

IEEE Trans. Knowl. Data Eng., 2001

Automating Statistics Management for Query Optimizers.

Surajit Chaudhuri, Vivek R. Narasayya

IEEE Trans. Knowl. Data Eng., 2001

A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries.

Surajit Chaudhuri, Gautam Das, Vivek R. Narasayya

Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

Materialized View and Index Selection Tool for Microsoft SQL Server 2000.

Sanjay Agrawal, Surajit Chaudhuri, Vivek R. Narasayya

Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

Overcoming Limitations of Sampling for Aggregation Queries.

Surajit Chaudhuri, Gautam Das, Mayur Datar, Rajeev Motwani, Vivek R. Narasayya

Proceedings of the 17th International Conference on Data Engineering, 2001

2000

Automated Selection of Materialized Views and Indexes in SQL Databases.

Sanjay Agrawal, Surajit Chaudhuri, Vivek R. Narasayya

Proceedings of the VLDB 2000, 2000

Towards Estimation Error Guarantees for Distinct Values.

Moses Charikar, Surajit Chaudhuri, Rajeev Motwani, Vivek R. Narasayya

Proceedings of the Nineteenth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2000

1999

Self-Tuning Technology in Microsoft SQL Server.

Surajit Chaudhuri, Eric Christensen, Goetz Graefe, Vivek R. Narasayya, Michael J. Zwilling

IEEE Data Eng. Bull., 1999

On Random Sampling over Joins.

Surajit Chaudhuri, Rajeev Motwani, Vivek R. Narasayya

Proceedings of the SIGMOD 1999, 1999

Index Merging.

Surajit Chaudhuri, Vivek R. Narasayya

Proceedings of the 15th International Conference on Data Engineering, 1999

1998

The Microsoft Database Research Group.

David B. Lomet, Roger S. Barga, Surajit Chaudhuri, Per-Åke Larson, Vivek R. Narasayya

SIGMOD Rec., 1998

Microsoft Index Tuning Wizard for SQL Server 7.0.

Surajit Chaudhuri, Vivek R. Narasayya

Proceedings of the SIGMOD 1998, 1998

AutoAdmin 'What-if' Index Analysis Utility.

Surajit Chaudhuri, Vivek R. Narasayya

Proceedings of the SIGMOD 1998, 1998

Random Sampling for Histogram Construction: How much is enough?

Surajit Chaudhuri, Rajeev Motwani, Vivek R. Narasayya

Proceedings of the SIGMOD 1998, 1998

1997

An Efficient Cost-Driven Index Selection Tool for Microsoft SQL Server.

Surajit Chaudhuri, Vivek R. Narasayya

Proceedings of the VLDB'97, 1997

1994

Integrating Coherency and Recoverability in Distributed Systems.

Michael J. Feeley, Jeffrey S. Chase, Vivek R. Narasayya, Henry M. Levy

Proceedings of the First USENIX Symposium on Operating Systems Design and Implementation (OSDI), 1994