Company Filing History:
Years Active: 2020-2021
Title: Tori Chen: Innovator in Context-Aware Middlebox Services
Introduction
Tori Chen is a prominent inventor based in San Jose, California. She has made significant contributions to the field of networking and data center technologies. With a total of four patents to her name, Tori has focused on developing innovative solutions that enhance the efficiency and functionality of data centers.
Latest Patents
Tori's latest patents include groundbreaking work on context-aware middlebox services at data center edges. One embodiment of her invention provides a novel architecture for delivering context-aware middlebox services at the edge of a physical data center. This architecture allows middlebox service engines to operate in an edge host, such as an NSX Edge, which facilitates routing services and connectivity to external networks. Additionally, her inventions utilize a context header insertion processor that captures contextual attributes from host computers executing various machines. This processor generates a context header that encapsulates data messages processed by the service engines, thereby improving the overall efficiency of data handling.
Career Highlights
Throughout her career, Tori has worked with notable companies such as Nicira, Inc. and VMware, Inc. Her experience in these organizations has allowed her to refine her skills and contribute to significant advancements in networking technologies. Tori's work has been instrumental in shaping the future of data center operations.
Collaborations
Tori has collaborated with talented individuals in her field, including Arijit Chanda and Arnold Poon. These collaborations have fostered innovation and have led to the development of cutting-edge technologies in the networking domain.
Conclusion
Tori Chen is a remarkable inventor whose work in context-aware middlebox services has made a lasting impact on data center technology. Her innovative solutions continue to drive advancements in the field, showcasing her dedication to improving network efficiency and functionality.
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