Vivek R. Narasayya

Orcid: 0000-0001-7011-7886

Affiliations:
  • Microsoft Research


According to our database1, Vivek R. Narasayya authored at least 99 papers between 1994 and 2024.

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Bibliography

2024
Wred: Workload Reduction for Scalable Index Tuning.
Proc. ACM Manag. Data, February, 2024

Wii: Dynamic Budget Reallocation In Index Tuning.
Proc. ACM Manag. Data, 2024

2023
Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets.
Proc. VLDB Endow., December, 2023

Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server.
Proc. VLDB Endow., 2023

Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service.
Proc. VLDB Endow., 2023

Flexible Resource Allocation for Relational Database-as-a-Service.
Proc. VLDB Endow., 2023

2022
PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication.
Proc. VLDB Endow., 2022

DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning.
Proc. VLDB Endow., 2022

Tenant Placement in Over-subscribed Database-as-a-Service Clusters.
Proc. VLDB Endow., 2022

ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning.
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.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Budget-aware Index Tuning with Reinforcement Learning.
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.
Proc. VLDB Endow., 2021

COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics.
Proc. VLDB Endow., 2021

Hyperspace: The Indexing Subsystem of Azure Synapse.
Proc. VLDB Endow., 2021

DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems.
Proc. VLDB Endow., 2021

Cloud Data Services: Workloads, Architectures and Multi-Tenancy.
Found. Trends Databases, 2021

2020
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models.
Proc. VLDB Endow., 2020

Bitvector-aware Query Optimization for Decision Support Queries (extended version).
CoRR, 2020

Bitvector-aware Query Optimization for Decision Support Queries.
Proceedings of the 2020 International Conference on Management of Data, 2020

2019
Selectivity Estimation for Range Predicates using Lightweight Models.
Proc. VLDB Endow., 2019

Customizable and Scalable Fuzzy Join for Big Data.
Proc. VLDB Endow., 2019

AI Meets AI: Leveraging Query Executions to Improve Index Recommendations.
Proceedings of the 2019 International Conference on Management of Data, 2019

Automatically Indexing Millions of Databases in Microsoft Azure SQL Database.
Proceedings of the 2019 International Conference on Management of Data, 2019

2018
Database Tuning Using Combinatorial Search.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches.
Proc. VLDB Endow., 2018

Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations.
Proc. VLDB Endow., 2018

Plan Stitch: Harnessing the Best of Many Plans.
Proc. VLDB Endow., 2018

PerfIso: Performance Isolation for Commercial Latency-Sensitive Services.
Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel.
Proceedings of the 2018 International Conference on Management of Data, 2018

Columnstore and B+ tree - Are Hybrid Physical Designs Important?
Proceedings of the 2018 International Conference on Management of Data, 2018

2017
Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016
Accelerating Relational Databases by Leveraging Remote Memory and RDMA.
Proceedings of the 2016 International Conference on Management of Data, 2016

Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics.
Proceedings of the 2016 International Conference on Management of Data, 2016

Automated Demand-driven Resource Scaling in Relational Database-as-a-Service.
Proceedings of the 2016 International Conference on Management of Data, 2016

2015
Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service.
Proc. VLDB Endow., 2015

AutoTag 'n Search My Photos: Leveraging the Social Graph for Photo Tagging.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

2014
Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel.
Proc. VLDB Endow., 2014

Database Application Developer Tools Using Static Analysis and Dynamic Profiling.
IEEE Data Eng. Bull., 2014

2013
CPU Sharing Techniques for Performance Isolation in Multitenant Relational Database-as-a-Service.
Proc. VLDB Endow., 2013

A demonstration of SQLVM: performance isolation in multi-tenant relational database-as-a-service.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Data services for E-tailers leveraging web search engine assets.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service.
Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

2012
Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques.
Proc. VLDB Endow., 2012

Experiences with using Data Cleaning Technology for Bing Services.
IEEE Data Eng. Bull., 2012

2011
Automatic Workload Driven Index Defragmentation.
Proc. VLDB Endow., 2011

A Statistical Approach Towards Robust Progress Estimation.
Proc. VLDB Endow., 2011

Compression Aware Physical Database Design.
Proc. VLDB Endow., 2011

New Frontiers in Business Intelligence.
Proc. VLDB Endow., 2011

AutoAdmin Project at Microsoft Research: Lessons Learned.
IEEE Data Eng. Bull., 2011

Towards a Domain Independent Platform for Data Cleaning.
IEEE Data Eng. Bull., 2011

An overview of business intelligence technology.
Commun. ACM, 2011

2010
Slicing Long-Running Queries.
Proc. VLDB Endow., 2010

Variance aware optimization of parameterized queries.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Workload driven index defragmentation.
Proceedings of the 26th International Conference on Data Engineering, 2010

Estimating the compression fraction of an index using sampling.
Proceedings of the 26th International Conference on Data Engineering, 2010

Rule profiling for query optimizers and their implications.
Proceedings of the 26th International Conference on Data Engineering, 2010

2009
Database Tuning using Combinatorial Search.
Proceedings of the Encyclopedia of Database Systems, 2009

Exact Cardinality Query Optimization for Optimizer Testing.
Proc. VLDB Endow., 2009

A framework for testing query transformation rules.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Bridging the application and DBMS divide using static analysis and dynamic profiling.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

A Static Analysis Framework for Database Applications.
Proceedings of the 25th International Conference on Data Engineering, 2009

2008
A pay-as-you-go framework for query execution feedback.
Proc. VLDB Endow., 2008

Report: 3rd Int'l Workshop on Self-Managing Database Systems (SMDB 2008).
IEEE Data Eng. Bull., 2008

Diagnosing Estimation Errors in Page Counts Using Execution Feedback.
Proceedings of the 24th International Conference on Data Engineering, 2008

2007
Optimized stratified sampling for approximate query processing.
ACM Trans. Database Syst., 2007

Bridging the Application and DBMS Profiling Divide for Database Application Developers.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Self-Tuning Database Systems: A Decade of Progress.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

2006
AutoAdmin: Self-Tuning Database SystemsTechnology.
IEEE Data Eng. Bull., 2006

Automatic physical design tuning: workload as a sequence.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

2005
Efficient Computation of Multiple Group By Queries.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Data cleaning in microsoft SQL server 2005.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Database tuning advisor for microsoft SQL server 2005: demo.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

2004
Extracting predicates from mining models for efficient query evaluation.
ACM Trans. Database Syst., 2004

Index Selection for Databases: A Hardness Study and a Principled Heuristic Solution.
IEEE Trans. Knowl. Data Eng., 2004

Database Tuning Advisor for Microsoft SQL Server 2005.
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.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Integrating Vertical and Horizontal Partitioning Into Automated Physical Database Design.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

SQLCM: A Continuous Monitoring Framework for Relational Database Engines.
Proceedings of the 20th International Conference on Data Engineering, 2004

2003
Primitives for Workload Summarization and Implications for SQL.
Proceedings of 29th International Conference on Very Large Data Bases, 2003

Automating Layout of Relational Databases.
Proceedings of the 19th International Conference on Data Engineering, 2003

2002
Compressing SQL workloads.
Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, 2002

Efficient Evaluation of Queries with Mining Predicates.
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'.
IEEE Trans. Knowl. Data Eng., 2001

Automating Statistics Management for Query Optimizers.
IEEE Trans. Knowl. Data Eng., 2001

A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries.
Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

Materialized View and Index Selection Tool for Microsoft SQL Server 2000.
Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

Overcoming Limitations of Sampling for Aggregation Queries.
Proceedings of the 17th International Conference on Data Engineering, 2001

2000
Automated Selection of Materialized Views and Indexes in SQL Databases.
Proceedings of the VLDB 2000, 2000

Towards Estimation Error Guarantees for Distinct Values.
Proceedings of the Nineteenth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2000

1999
Self-Tuning Technology in Microsoft SQL Server.
IEEE Data Eng. Bull., 1999

On Random Sampling over Joins.
Proceedings of the SIGMOD 1999, 1999

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

1998
The Microsoft Database Research Group.
SIGMOD Rec., 1998

Microsoft Index Tuning Wizard for SQL Server 7.0.
Proceedings of the SIGMOD 1998, 1998

AutoAdmin 'What-if' Index Analysis Utility.
Proceedings of the SIGMOD 1998, 1998

Random Sampling for Histogram Construction: How much is enough?
Proceedings of the SIGMOD 1998, 1998

1997
An Efficient Cost-Driven Index Selection Tool for Microsoft SQL Server.
Proceedings of the VLDB'97, 1997

1994
Integrating Coherency and Recoverability in Distributed Systems.
Proceedings of the First USENIX Symposium on Operating Systems Design and Implementation (OSDI), 1994


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