Company Filing History:

17 out of 4,978

Emc Corporation

patents

11 out of 7,353

Emc IP Holding Company LLC

Years Active: 2013-2021

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29 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11151030 - Method for prediction of the duration of garbage collection for backup storage systems (2021-10-19),

2. 10725679 - Systems and methods for calculating a probability of exceeding storage capacity in a virtualized computing system (2020-07-28),

3. 10380515 - Geolocation for customer support mobile application (2019-08-13),

4. 10223185 - Automated defect diagnosis from machine diagnostic data (2019-03-05),

5. 10191668 - Method for dynamically modeling medium error evolution to predict disk failure (2019-01-29),

6. 10146605 - Set-based bugs discovery system via SQL query (2018-12-04),

7. 10061681 - System for discovering bugs using interval algebra query language (2018-08-28),

8. 9911083 - Automated defect and optimization discovery (2018-03-06),

9. 9892014 - Automated identification of the source of RAID performance degradation (2018-02-13),

10. 9646256 - Automated end-to-end sales process of storage appliances of storage systems using predictive modeling (2017-05-09),

11. 9612896 - Prediction of disk failure (2017-04-04),

12. 9558200 - Capacity forecasting for a deduplicating storage system (2017-01-31),

13. 9477661 - Method and apparatus for predicting potential replication performance degradation (2016-10-25),

14. 9471594 - Defect remediation within a system (2016-10-18),

15. 9460389 - Method for prediction of the duration of garbage collection for backup storage systems (2016-10-04),

Title: Mark Chamness: Innovator in Storage Management Technologies

Introduction

Mark Chamness, based in Menlo Park, CA, is a prolific inventor with a remarkable portfolio of 29 patents. His innovations primarily focus on enhancing storage management systems, showcasing his expertise in optimizing storage solutions in computing environments.

Latest Patents

Among his latest patented inventions, Mark has developed a method for predicting the duration of garbage collection for backup storage systems. This method involves receiving a set of features associated with a storage system and using a learning equation to generate a predictive model for garbage collection duration. Additionally, he has created systems for calculating the probability of exceeding storage capacity in a virtualized computing system, employing probabilistic models that consider variations in storage capacity.

Career Highlights

Mark has significantly contributed to the field of storage management through his roles at leading companies, including EMC Corporation and EMC IP Holding Company LLC. His work has been instrumental in advancing technologies that improve system efficiency and storage reliability.

Collaborations

Throughout his career, Mark has collaborated with talented professionals, including Kai Chen and Eric Schnegelberger. These partnerships have fostered an environment of innovation and have further propelled his work in storage solutions.

Conclusion

Mark Chamness stands out as a key innovator in the realm of storage management technologies. With his extensive patent portfolio and experience in top organizations, he continues to influence the development of systems that enhance the efficiency and reliability of storage solutions in the computing industry.

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