Toronto, Canada

Moshe Gabel

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):

Title: The Innovative Mind of Moshe Gabel

Introduction

Moshe Gabel is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of data management, particularly in enhancing global query performance in edge networks. His innovative approach has led to the development of a unique patent that addresses critical challenges in data processing.

Latest Patents

Moshe Gabel holds a patent titled "Method to improve global query performance in an edge network." This patent describes methods and systems for data management, specifically for processing global queries. Each global query includes a user-defined query constraint value, such as laxity or query response time limit. The query receiving node maintains a copy of the previously updated data from all of its children nodes. The query receiving node first searches for the requested query data in its local data storage to minimize children node queries. If any portion of the requested data in the local data storage fails to meet the query constraint value, then the child node from which the data originated is tasked with recursively executing the global query. Moshe Gabel has 1 patent to his name.

Career Highlights

Throughout his career, Moshe has worked with prominent organizations, including Huawei Technologies Canada Co., Ltd. and the University of Toronto. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking research in data management.

Collaborations

Moshe has collaborated with various professionals in his field, including Eyal De Lara. Their joint efforts have further advanced the understanding and implementation of innovative data management solutions.

Conclusion

Moshe Gabel's contributions to the field of data management through his patent and collaborative efforts highlight his innovative spirit and dedication to improving global query performance. His work continues to influence the way data is processed in edge networks.

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