Company Filing History:
Years Active: 2022
Title: Innovations of Anna Clara Nagy
Introduction
Anna Clara Nagy is a notable inventor based in Dover, Massachusetts. She has made significant contributions to the field of storage management technology. Her innovative approach has led to the development of a unique patent that enhances the efficiency of snapshot chunk sizing in block storage volumes.
Latest Patents
Anna Clara Nagy holds a patent for "Adaptive snapshot chunk sizing for snapshots of block storage volumes." This invention involves a storage manager that implements adaptive snapshot chunk sizing. The snapshot chunks are sized differently based on the access pattern for volume data. For instance, sequentially accessed sectors of a volume may be grouped into snapshot chunks of varying sizes, while individually accessed sectors may be snapshotted as individual snapshot chunks. When a volume is populated from these snapshot chunks, the volume data is re-mapped into standard-sized volume blocks. Additionally, an optimized manifest is generated to indicate the order in which the snapshot chunks should be used to populate a volume for a launch process. This innovation accelerates the launch of operating systems, applications, databases, and machine images.
Career Highlights
Anna Clara Nagy is currently employed at Amazon Technologies, Inc., where she continues to develop cutting-edge technologies. Her work focuses on improving storage solutions and enhancing data management processes. With her expertise, she has contributed to the advancement of storage technologies that benefit various applications.
Collaborations
Anna has collaborated with talented coworkers, including Xuan Li and Marcin Piotr Kowalski. Their teamwork has fostered an environment of innovation and creativity, leading to the successful development of new technologies.
Conclusion
Anna Clara Nagy is a pioneering inventor whose work in adaptive snapshot chunk sizing has made a significant impact on storage management technology. Her contributions continue to influence the field and enhance the efficiency of data management processes.