Varna, Bulgaria

Olaf Meller


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: The Innovative Mind of Olaf Meller

Introduction

Olaf Meller is a notable inventor based in Varna, Bulgaria. He has made significant contributions to the field of computer networking through his innovative patent. His work focuses on advanced methods for implementing time-traveling networks, showcasing his expertise in graph databases and network dynamics.

Latest Patents

Olaf Meller holds a patent titled "Methods for implementing time-travelling networks using extensions to graph databases." This patent presents methods for a reduced state machine that describes nodes and relationship dynamics representing real network elements, such as networking devices and software processes. The logical states of networking features are reflected in the graph, while configuration data is stored for completeness. A key aspect of his invention is the 'Versioner Algorithm,' which records the temporal history of a node and its state over time within the node's metadata. This allows for a historical view of the network and provides methods to compare two historical topologies in a human-readable or machine-consumable form.

Career Highlights

Olaf Meller is currently employed at Cisco Technology, Inc., where he continues to develop innovative solutions in networking. His work has positioned him as a valuable asset in the tech industry, contributing to advancements in network management and data processing.

Collaborations

Olaf has collaborated with notable colleagues, including Piotr Jerzy Kupisiewicz and Michael Chomicz. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Olaf Meller's contributions to the field of networking through his innovative patent demonstrate his expertise and commitment to advancing technology. His work not only enhances the understanding of network dynamics but also paves the way for future innovations in the industry.

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