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For the Inventor, By the Inventor

Bellevue, WA, United States of America

Wentao Wu

USPTO Granted Patents = 14 

 

Average Co-Inventor Count = 3.5

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:

goldMedal14 out of 54,638 
 
Microsoft Technology Licensing, LLC
 patents

Years Active: 2020-2025

where 'Filed Patents' based on already Granted Patents

14 patents (USPTO):
1. 12436949 - Using workload reduction to improve index tuning (2025-10-07),
2. 12430311 - Budget-constrained index tuning in database systems (2025-09-30),
3. 12248454 - Scalable index tuning with index filtering and index cost models (2025-03-11),
4. 12105713 - Compressing workloads for scalable index tuning (2024-10-01),
5. 12066993 - Constraint-based index tuning in database management systems utilizing reinforcement learning (2024-08-20),
6. 12007992 - Serverless data lake indexing subsystem and application programming interface (2024-06-11),
7. 11567906 - Generation and traversal of a hierarchical index structure for efficient data retrieval (2023-01-31),
8. 11531663 - Agent-based data pre-processing and data indexing for efficient data retrieval (2022-12-20),
9. 11507577 - Optimizing aggregates over correlated windows in a stream-query system (2022-11-22),
10. 11449508 - Serverless data lake indexing subsystem and application programming interface (2022-09-20),
11. 11288271 - Data lake workload optimization through explaining and optimizing index recommendations (2022-03-29),
12. 11275734 - Data lake workload optimization through index modeling and recommendation (2022-03-15),
13. 11188534 - Optimizing input streams for a stream join model having a threshold function (2021-11-30),
14. 10810202 - Execution plan stitching (2020-10-20),

Title: Innovations by Wentao Wu

Introduction

Wentao Wu is a prominent inventor based in Bellevue, WA, known for his significant contributions to database systems. With a total of 14 patents to his name, he has made remarkable advancements in the field of index tuning and workload management.

Latest Patents

One of his latest patents is titled "Using workload reduction to improve index tuning." This innovation describes a workload reduction system that simplifies the complexity of workloads sent to a database system. The system pre-processes these workloads by generating reduced workloads that consist of less complex queries, referencing fewer tables or columns than the original workloads. By employing table reduction functions and query re-writing functions, the workload reduction system enhances computational efficiency. It transforms complex queries into simpler ones, thereby speeding up index tuning and decreasing individual what-if call times.

Another notable patent is "Budget-constrained index tuning in database systems." This document outlines a method for index tuning that incorporates budget constraints. The process begins with receiving a budget constraint and generating a set of candidate indexes for a workload of queries. It involves determining a derived cost for each query-configuration pair (QCP) and identifying a subset of QCPs where the derived cost and a what-if cost have a delta value below a predefined threshold. The method allocates the budget constraint to these identified QCPs to minimize what-if calls. Furthermore, it reallocates a saved portion of the budget to other QCPs where the delta value exceeds the threshold, evaluates these QCPs using what-if calls, and selects an optimal index configuration for application in the database system.

Career Highlights

Wentao Wu is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and contribute to advancements in database technology. His work has had a significant impact on improving the efficiency and effectiveness of database systems.

Collaborations

He has collaborated with notable colleagues such as Surajit J Chaudhuri and Vivek Ravindranath Narasayya, further enhancing the quality and scope of his inventions.

Conclusion

Wentao Wu's contributions to the field of database systems through his innovative patents demonstrate his expertise and commitment to advancing technology. His work not only improves computational efficiency but also addresses practical challenges in index tuning and workload management.

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