San Jose, CA, United States of America

Tewari Renu


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2009-2012

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2 patents (USPTO):Explore Patents

Title: Tewari Renu: Innovator in Data Management Systems

Introduction

Tewari Renu is a notable inventor based in San Jose, CA, with a focus on enhancing data management systems. With a total of two patents to his name, Tewari has made significant contributions to the field of file systems, particularly in the area of virtual boundaries for data management.

Latest Patents

Tewari Renu's latest patents address a System for emulating a virtual boundary of a file system for data management at a fileset granularity. This innovative solution emulates a virtual boundary within an existing filesystem, specifically tailored for managing data across a wide area filesystem federation. The system dynamically assigns a fileset ID to files, allowing for precise identification through both the file ID and the fileset ID. This dynamic approach ensures that filesets are created and removed based on administrative instructions, enabling fine-grained data management and enhanced namespace control within a filesystem federation.

Career Highlights

Currently, Tewari Renu is associated with the International Business Machines Corporation (IBM), where he continues to push the boundaries of technology and innovation in data management. His expertise and experience in developing sophisticated systems have positioned him as a key player in his field.

Collaborations

Throughout his career, Tewari has worked alongside talented individuals, including esteemed coworkers Rodney Carlton Burnett and Jonathan Mark Haswell. Their collaborative efforts exemplify the team-oriented approach that drives innovation at IBM.

Conclusion

Tewari Renu stands out as an influential inventor, contributing valuable insights and advancements in data management systems. His patents reflect his dedication to enhancing existing technologies and improving efficiency in data handling within complex filesystem frameworks.

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