Palo Alto, CA, United States of America

Sergio Nakai


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Innovations of Sergio Nakai in Data Storage Solutions

Introduction

Sergio Nakai is an accomplished inventor based in Palo Alto, California. He has made significant contributions to the field of data storage and analysis, particularly in the context of computing facilities and cloud computing.

Latest Patents

Sergio Nakai holds a patent for "Methods and systems that efficiently store metric data to enable period and peak detection." This innovative patent focuses on methods and systems that collect metric data within computing facilities, including large data centers and cloud-computing environments. The patent describes a process where input metric data is compressed by replacing each data point with a one-bit, two-bit, four-bit, or eight-bit compressed data value. During the first time window after receiving a metric data point, the data remains uncompressed to facilitate analysis and monitoring. In the subsequent time window, the data is compressed and stored in memory, allowing for peak detection and periodic pattern analysis. Finally, the compressed data is archived in mass storage for long-term availability.

Career Highlights

Sergio Nakai is currently employed at VMware, Inc., where he continues to innovate in the field of data management and storage solutions. His work has been instrumental in enhancing the efficiency of data handling in modern computing environments.

Collaborations

Throughout his career, Sergio has collaborated with notable professionals in the industry, including Paul Pedersen and Darren Brown. These collaborations have contributed to the development of advanced technologies in data storage and analysis.

Conclusion

Sergio Nakai's contributions to data storage solutions reflect his expertise and innovative spirit. His patent demonstrates a significant advancement in the efficient handling of metric data, which is crucial for modern computing facilities.

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