Mountain View, CA, United States of America

Kee Shen Quah


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2019

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2 patents (USPTO):Explore Patents

Title: Kee Shen Quah: Innovator in Distributed File Systems

Introduction

Kee Shen Quah is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of distributed file systems, holding a total of 2 patents. His work focuses on improving the efficiency and reliability of data storage systems.

Latest Patents

Kee Shen Quah's latest patents include innovative solutions for managing site cache capacities in distributed file systems. One of his patents, titled "Decreasing a site cache capacity in a distributed file system," involves receiving an indication to retire a computer-readable storage medium from the site cache. This process includes replicating a plurality of data objects stored on the medium to at least one target computer-readable storage medium in the site cache before removing the original medium. Another patent, "Repairing a site cache in a distributed file system," addresses the detection of a failing computer-readable storage medium within a transient object store. This invention allows the site cache to be set to an error read-only state while replacing the failing medium with an operational one.

Career Highlights

Kee Shen Quah is currently employed at Emc IP Holding Company LLC, where he continues to develop innovative solutions in the realm of data storage. His expertise in distributed file systems has positioned him as a valuable asset to his organization.

Collaborations

Kee Shen Quah has collaborated with notable colleagues such as Vijay Panghal and Shrinand Javadekar, contributing to various projects that enhance the functionality of distributed systems.

Conclusion

Kee Shen Quah's contributions to the field of distributed file systems through his patents demonstrate his commitment to innovation and excellence. His work continues to influence the way data is managed and stored in modern computing environments.

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