Company Filing History:
Years Active: 2020-2022
Title: Innovations by Jeffrey Teehan
Introduction
Jeffrey Teehan is an accomplished inventor based in Sunnyvale, CA. He has made significant contributions to the field of virtualization technology, particularly in the area of virtual machine (VM) data migration. With a total of 2 patents, his work has been instrumental in enhancing the efficiency and effectiveness of data management across different VM types.
Latest Patents
Jeffrey's latest patents focus on innovative techniques for migration paths. The first patent describes exemplary embodiments that relate to a destination path for use with multiple different types of VMs. This technique allows for the conversion, copying, or moving of data objects stored in one type of VM to another. The destination path represents a standardized way to refer to VM objects from a proprietary VM. A destination location can be specified using this canonical destination path, which can then be converted into a hypervisor-specific destination location. Additionally, a source data object may be copied or moved to the destination location using a hypervisor-agnostic path. His second patent also addresses the migration of virtual machine data using native data paths, reinforcing the importance of standardized methods in VM data management.
Career Highlights
Jeffrey Teehan currently works at NetApp, Inc., where he continues to develop innovative solutions in data management and virtualization. His expertise in the field has made him a valuable asset to the company and the broader tech community.
Collaborations
Throughout his career, Jeffrey has collaborated with talented individuals such as Sung Ryu and Shweta Manohar Behere. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.
Conclusion
Jeffrey Teehan's contributions to virtualization technology through his patents and work at NetApp, Inc. highlight his role as a leading inventor in the field. His innovative techniques for VM data migration are paving the way for more efficient data management solutions.