Nicholas Kushmerick

USPTO Granted Patents = 27 (Patent Applications = 5)

Average Co-Inventor Count = 2.7

ph-index = 7

Forward Citations = 120(Granted Patents)

Location History:

Yerevan, AM (2019 - 2021)
Seattle, WA (US) (2001 - 2023)

Company Filing History:

University of Washington

patents

4. 1 out of 7,353

Emc IP Holding Company LLC

patents

Years Active: 2001-2023

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27 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11640465 - Methods and systems for troubleshooting applications using streaming anomaly detection (2023-05-02),

2. 11481300 - Processes and systems that detect abnormal behavior of objects of a distributed computing system (2022-10-25),

3. 11405300 - Methods and systems to adjust resources and monitoring configuration of objects in a distributed computing system (2022-08-02),

4. 11347373 - Methods and systems to sample event messages (2022-05-31),

5. 11316727 - Method and system for clustering event messages and manage event-message clusters (2022-04-26),

6. 11182267 - Methods and systems to determine baseline event-type distributions of event sources and detect changes in behavior of event sources (2021-11-23),

7. 11061796 - Processes and systems that detect object abnormalities in a distributed computing system (2021-07-13),

8. 11048608 - Probability-distribution-based log-file analysis (2021-06-29),

9. 10997009 - Methods and systems that detect and classify incidents and anomalous behavior using metric-data observations (2021-05-04),

10. 10891148 - Methods and systems for identifying application components in distributed computing facilities (2021-01-12),

11. 10810103 - Method and system for identifying event-message transactions (2020-10-20),

12. 10776439 - Efficient log-file-based query processing (2020-09-15),

13. 10740211 - Methods and systems to tag tokens in log messages (2020-08-11),

14. 10623262 - Methods and systems to adjust a monitoring tool and auxiliary servers of a distributed computing system (2020-04-14),

15. 10616038 - Method and system for clustering event messages and managing event-message clusters (2020-04-07),

Title: Innovations and Contributions of Nicholas Kushmerick in Distributed Computing

Introduction

Nicholas Kushmerick is a prominent inventor and innovator based in Seattle, WA, whose work in the field of distributed computing has led to a remarkable portfolio of 27 patents. His innovative contributions focus on developing methods and systems that enhance the performance and troubleshooting capabilities of distributed applications.

Latest Patents

Among his latest patents, Kushmerick has developed techniques for troubleshooting applications through streaming anomaly detection. This patent describes computational methods that can identify and address anomalous behavior in distributed applications operating within a distributed computing system. The system leverages metrics from application nodes and log messages to monitor for unusual activities, generating alerts when such behaviors are detected. In addition, he has created processes that detect abnormal behavior in objects within distributed computing systems, using historical metrics to train classifiers that identify deviations from normal operation, thereby improving system reliability and performance.

Career Highlights

Kushmerick has had an impactful career, with significant roles at leading technology firms such as VMware, Inc. and Decho Corporation. His experience in these organizations has paved the way for his innovative patents, which address critical challenges in the field of distributed systems.

Collaborations

Throughout his career, Kushmerick has collaborated with talented individuals, including his coworkers Junyuan Lin and Darren Brown. These collaborations have likely contributed to the development of cutting-edge solutions that effectively resolve complex issues within distributed computing environments.

Conclusion

Nicholas Kushmerick’s extensive patent portfolio and career highlights underscore his significant contributions to the field of distributed computing. His innovative methods for detecting and troubleshooting anomalies position him as a leading figure in technological advancements that enhance application performance and reliability in a complex digital landscape.

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