Mountain View, CA, United States of America

Induja Sreekanthan


Average Co-Inventor Count = 5.2

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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4 patents (USPTO):Explore Patents

Title: Induja Sreekanthan: Innovator in Data Processing Technologies

Introduction

Induja Sreekanthan is a prominent inventor based in Mountain View, CA (US). She has made significant contributions to the field of data processing, holding three patents that showcase her innovative approach to improving data storage and retrieval systems.

Latest Patents

One of her latest patents is titled "Thrashing detection and avoidance for a tiered data processing service." This invention focuses on methods for enhancing the performance of tiered storage by detecting and mitigating thrashing of data blocks between warm and cold storage tiers. The patent outlines a system that tracks the frequency of hits by incoming queries to data blocks not currently stored in the warm storage tier, using timers to identify thrashing occurrences.

Another notable patent is "Up-sized cluster performance modeling for a tiered data processing service." This invention provides methods for modeling the performance of tiered storage when the storage capacity of the warm storage tier is increased. It utilizes buffers to store data block identifiers and tracks hit rates on the up-sized warm storage tier, allowing for efficient management of data blocks.

Career Highlights

Induja Sreekanthan is currently employed at Amazon Technologies, Inc., where she continues to develop innovative solutions in data processing. Her work has significantly impacted the efficiency and performance of data storage systems.

Collaborations

She collaborates with talented individuals such as Sriram Subramanian and Athanasios Papathanasiou, contributing to a dynamic and innovative work environment.

Conclusion

Induja Sreekanthan's contributions to data processing technologies exemplify her commitment to innovation and excellence in her field. Her patents reflect her ability to address complex challenges in data management, making her a valuable asset to the tech industry.

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