Quakerstown, PA, United States of America

John A Schlack


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2011

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1 patent (USPTO):Explore Patents

Title: The Innovations of John A. Schlack

Introduction

John A. Schlack is a notable inventor based in Quakertown, Pennsylvania. He has made significant contributions to the field of data distribution and access management. His innovative approach has led to the development of a unique patent that addresses the complexities of data scheduling and resource management.

Latest Patents

John A. Schlack holds a patent for "Systems and methods for vertically integrated data distribution and access management." This patent outlines a system where scheduled data is received and distributed efficiently. The system includes a schedule director that manages the inventory of data and coordinates with resource managers to ensure optimal resource utilization. The schedule director negotiates with these managers to reserve necessary resources for receiving, storing, and preparing data for delivery to users. This innovative approach allows for independent task performance by reserved resources, enhancing the overall efficiency of data management.

Career Highlights

Throughout his career, John has been associated with Concurrent Computer Corporation, where he has applied his expertise in data systems. His work has been instrumental in advancing the company's capabilities in data distribution technologies. John’s dedication to innovation has positioned him as a key figure in his field.

Collaborations

John A. Schlack has collaborated with notable colleagues such as Sam Abadir and Robert Gaydos. These partnerships have fostered a creative environment that encourages the development of cutting-edge solutions in data management.

Conclusion

John A. Schlack's contributions to the field of data distribution and access management exemplify the impact of innovative thinking in technology. His patent reflects a deep understanding of resource management and scheduling, paving the way for advancements in data systems.

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