Del Mar, CA, United States of America

Arcot Rajasekar

USPTO Granted Patents = 6 

Average Co-Inventor Count = 4.0

ph-index = 4

Forward Citations = 307(Granted Patents)


Company Filing History:


Years Active: 2004-2010

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6 patents (USPTO):Explore Patents

Title: Arcot Rajasekar: Innovator in Data Management Technologies

Introduction

Arcot Rajasekar is a prominent inventor based in Del Mar, California. He has made significant contributions to the field of data management, holding a total of 6 patents. His work focuses on creating innovative solutions for managing data objects across distributed heterogeneous resources.

Latest Patents

Rajasekar's latest patents include a "System of and method for transparent management of data objects in containers across distributed heterogeneous resources." This invention provides a method for maintaining data objects in containers across a network in a way that is transparent to clients. It resolves client requests by querying metadata, processing requests through container copies, and updating metadata to reflect any changes. Another notable patent is for "Persistent archives," which describes a self-describing, infrastructure-independent representation of a logical structure for a collection of data objects. This archive can be instantiated at any future point in time, regardless of technological advancements.

Career Highlights

Throughout his career, Rajasekar has worked with notable organizations such as General Atomics, Inc. and the University of California. His experience in these institutions has allowed him to develop and refine his innovative ideas in data management.

Collaborations

Some of his notable coworkers include Reagan W. Moore and Michael Y. Wan. Their collaboration has contributed to the advancement of technologies in the field of data management.

Conclusion

Arcot Rajasekar's contributions to data management technologies have established him as a key figure in the field. His innovative patents and career achievements reflect his dedication to advancing the way data is managed across diverse systems.

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