Company Filing History:
Years Active: 2018-2022
Title: Melvin Walls: Innovator in Network Function Virtualization
Introduction
Melvin Walls is a prominent inventor based in Berkeley, CA (US), known for his contributions to network function virtualization. With a total of 5 patents, he has made significant strides in the field of software network functions.
Latest Patents
One of his latest patents is titled "Distributed anticipatory bidirectional packet steering for software network functions." This method involves a first packet steering module receiving a first encapsulated packet traveling in a forward traffic direction. The encapsulated packet includes a first encapsulating data structure, and the network comprises multiple packet steering modules and network nodes. The return path learning module generates return traffic path information associated with the packet, which is then updated in a replicated data structure and transmitted to other modules.
Another notable patent is the "Modular system framework for software network function automation." This method automates network function virtualization using a modular framework. A control module subscribes to a key of a state store, which contains stored data objects and unique keys. Upon receiving a notification associated with the key, the control module reads a data object and modifies the network traffic flow based on this data.
Career Highlights
Melvin has worked with several notable companies, including Nefeli Networks, Inc. and Cloudflare, Inc. His experience in these organizations has allowed him to develop innovative solutions in network technology.
Collaborations
Throughout his career, Melvin has collaborated with talented individuals such as Daniele Di Proietto and Barath Raghavan. These partnerships have contributed to his success and the advancement of his inventions.
Conclusion
Melvin Walls is a key figure in the realm of network function virtualization, with a strong portfolio of patents and a history of impactful collaborations. His work continues to influence the development of software network functions and automation.
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