San Francisco, CA, United States of America

Mark Donsky


Average Co-Inventor Count = 7.0

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2020-2023

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3 patents (USPTO):Explore Patents

Title: Mark Donsky: Innovator in Cloud-Based Computing

Introduction

Mark Donsky is a notable inventor based in San Francisco, CA (US). He has made significant contributions to the field of cloud-based distributed computing. With a total of 3 patents, Donsky's work focuses on optimizing data processing tasks in transient computing clusters.

Latest Patents

One of Donsky's latest patents is titled "Design-time information based on run-time artifacts in transient cloud-based distributed computing clusters." This innovation addresses the challenges of managing data lineage across multiple transient computing clusters. The techniques introduced allow for the extraction and aggregation of operational metadata from these clusters. This metadata can then be analyzed to summarize operations at a cluster level, even after the cluster has been decommissioned. Furthermore, the patent identifies relationships between workflows, such as dependencies and redundancies, which can be utilized to enhance the provisioning of computing clusters and the tasks they perform.

Career Highlights

Mark Donsky is currently employed at Cloudera, Inc., where he continues to develop innovative solutions in cloud computing. His expertise in transient computing has positioned him as a key player in the industry. Donsky's work not only contributes to the efficiency of data processing but also enhances the overall functionality of cloud-based systems.

Collaborations

Some of Donsky's notable coworkers include Sudhanshu Arora and Guang Yao Leng. Their collaborative efforts contribute to the advancement of technologies in the field of cloud computing.

Conclusion

Mark Donsky's contributions to cloud-based computing through his patents and work at Cloudera, Inc. highlight his role as an influential inventor in the tech industry. His innovative approaches to managing transient computing clusters are paving the way for more efficient data processing solutions.

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