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For the Inventor, By the Inventor

Mountain View, CA, United States of America

Junlong Gao

LinkedIn
USPTO Granted Patents = 35 

Average Co-Inventor Count = 5.1

ph-index = 2

Forward Citations = 14(Granted Patents)


Location History:

  • Vancouver, CA (2022)
  • Palo Alto, CA (US) (2022)
  • San Jose, CA (US) (2023)
  • Mountain View, CA (US) (2021 - 2024)
  • Santa Clara, CA (US) (2021 - 2024)

Company Filing History:

goldMedal35 out of 5,475 
 
Vmware, Inc.
 patents

Years Active: 2021-2024

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35 patents (USPTO):
1. 12141063 - Efficient write-back for journal truncation (2024-11-12),
2. 12131021 - Efficient incremental journal truncation policy (2024-10-29),
3. 12056054 - Dynamic growth of data caches using background processes for hash bucket growth (2024-08-06),
4. 12045204 - Small in-memory cache to speed up chunk store operation for deduplication (2024-07-23),
5. 11960450 - Enhancing efficiency of segment cleaning for a log-structured file system (2024-04-16),
6. 11860736 - Resumable copy-on-write (COW) B+tree pages deletion (2024-01-02),
7. 11847033 - Limiting blast radius for critical on-disk data corruptions in a distributed storage system (2023-12-19),
8. 11775484 - Fast algorithm to find file system difference for deduplication (2023-10-03),
9. 11741005 - Using data mirroring across multiple regions to reduce the likelihood of losing objects maintained in cloud object storage (2023-08-29),
10. 11675745 - Scalable I/O operations on a log-structured merge (LSM) tree (2023-06-13),
11. 11669495 - Probabilistic algorithm to check whether a file is unique for deduplication (2023-06-06),
12. 11663160 - Recovering the metadata of data backed up in cloud object storage (2023-05-30),
13. 11620261 - Writing data to an LSM tree file structure using consistent cache staging (2023-04-04),
14. 11556423 - Using erasure coding in a single region to reduce the likelihood of losing objects maintained in cloud object storage (2023-01-17),
15. 11544147 - Using erasure coding across multiple regions to reduce the likelihood of losing objects maintained in cloud object storage (2023-01-03),

Title: Exploring the Innovative Contributions of Junlong Gao

Introduction: Junlong Gao is a prominent inventor and innovator based in Mountain View, California. With an impressive portfolio of 35 patents, he has made significant contributions to the field of computing systems and data management. His work aims to enhance the efficiency and effectiveness of journal management in complex computing environments.

Latest Patents: Among Junlong’s notable inventions are two recent patents that address journal truncation. The first patent, titled "Efficient write-back for journal truncation," outlines a method for managing a journal within a memory system, which enhances the process of writing back records to a disk. This method involves maintaining a dirty list to track transactions and optimize the identification of records for truncation.

The second patent, "Efficient incremental journal truncation policy," focuses on an improved approach to journal truncation. This method includes maintaining a truncation queue and executing truncation operations based on physical on-disk offsets, streamlining memory management and improving system performance.

Career Highlights: Junlong Gao is currently employed by VMware, Inc., a leading provider of cloud infrastructure and digital workspace technology. His role at VMware allows him to collaborate on cutting-edge projects that push the boundaries of technology and innovation.

Collaborations: Throughout his career, Junlong has had the opportunity to work alongside talented individuals, including his coworkers Wenguang Wang and Maxime Austruy. These collaborations foster a creative environment that stimulates innovative problem-solving and advancements in their projects.

Conclusion: Junlong Gao’s contributions to the realm of computing and data management through his numerous patents illustrate his dedication to innovation. His focus on journal management and efficiency forms a critical part of the ongoing evolution of technology, ensuring systems are both effective and efficient in a rapidly advancing digital landscape.

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