Pittsburgh, PA, United States of America

Michael De Rosa

This inventor holds 1 USPTO granted patent. Top assignee: Google Inc.. Active years: 2015.


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2015

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1 patent (USPTO):Explore Patents

Title: Michael De Rosa: Innovator in Dynamic Sampling Rate Adjustment

Introduction

Michael De Rosa is an accomplished inventor based in Pittsburgh, PA. He is known for his innovative contributions to the field of statistical data collection. With a focus on enhancing data processing efficiency, De Rosa has made significant strides in the realm of technology.

Latest Patents

De Rosa holds a patent for "Dynamic sampling rate adjustment for rate-limited statistical data collection." This patent teaches methods and apparatuses for dynamically adjusting sampling rates for statistical data collection. The invention involves receiving records associated with a first task communicating with a second task, sampled at a first sampling rate. A target sampling rate for the first processing job is determined based on a minimum and maximum sampling quota. The target sampling rate is then compared to the first sampling rate, leading to a decision on whether to adjust the first sampling rate accordingly. This innovation allows for better tracing of processing jobs, accommodating the needs and size of the job while considering network limitations.

Career Highlights

Michael De Rosa is currently employed at Google Inc., where he continues to develop and refine his innovative ideas. His work focuses on improving data collection methods, which are crucial for various applications in technology and research.

Collaborations

De Rosa collaborates with Marc Unangst, leveraging their combined expertise to push the boundaries of data processing technologies.

Conclusion

Michael De Rosa's contributions to dynamic sampling rate adjustment exemplify the importance of innovation in technology. His work not only enhances data collection methods but also addresses the challenges faced in processing jobs.

Profile summary based on public USPTO records.
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