Unionville, Canada

Yuan Su


Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 16(Granted Patents)


Company Filing History:


Years Active: 2016

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Innovations of Yuan Su in Database Query Processing

Introduction

Yuan Su is an accomplished inventor based in Unionville, California. He has made significant contributions to the field of database query processing, holding a total of 2 patents. His work focuses on improving the efficiency of data handling in distributed database systems.

Latest Patents

Yuan Su's latest patents include a method for constructing a Bloom filter for use in a table join operation during the processing of queries in a distributed database. This method involves constructing a Bloom filter on each node of a multi-threaded cluster of computers. It allows for the merging of Bloom filter components sent from each node, utilizing different starting offset positions. Once the Bloom filter is complete at a node, it is used as a join filter in a table join operation, independent of the Bloom filter construction occurring at other nodes. This innovative approach enhances the performance of database queries by optimizing how data is processed across multiple nodes.

Career Highlights

Yuan Su is currently employed at International Business Machines Corporation (IBM), where he continues to develop cutting-edge technologies in database management. His expertise in distributed systems and query processing has positioned him as a valuable asset to his team and the company.

Collaborations

Yuan has collaborated with notable colleagues such as Naresh K Chainani and Kiran Chinta. Their combined efforts contribute to the advancement of technologies that streamline database operations and improve data accessibility.

Conclusion

Yuan Su's innovative work in database query processing exemplifies the impact of effective data management in today's technology-driven world. His contributions continue to shape the future of distributed databases and enhance the efficiency of data handling.

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