Andrew Nelson Wilt

Title: Innovations of Andrew Nelson Wilt

Introduction

Andrew Nelson Wilt is a notable inventor based in Tucson, AZ (US). He has made significant contributions to the field of data management and storage solutions. With a total of 5 patents, his work focuses on improving the efficiency and reliability of data maintenance processes.

Latest Patents

One of his latest patents is related to data maintenance. This invention outlines a computer-implemented method, a computer system, and a computer program product for data maintenance. The method includes receiving a maintenance request for a first data set stored in a first non-transient storage, copying the first data set into a second non-transient storage during a copy phase, and updating the second data set based on written update content during a write-back phase.

Another significant patent by Wilt is aimed at efficiently restoring data from a sequential-access backup archive. This method involves receiving a candidate list of data sets potentially contained within a backup archive and a filter list of desired data sets to be restored. The method generates a search list to ignore certain data sets during the search process, allowing for multiple searches that collectively perform a single pass through the backup archive.

Career Highlights

Andrew Nelson Wilt is currently employed at International Business Machines Corporation (IBM). His work at IBM has allowed him to develop innovative solutions that enhance data management practices. His contributions have been instrumental in advancing the technology used in data storage and retrieval.

Collaborations

Some of his notable coworkers include Justin Paul Eastman and Jeffrey Richard Suarez. Their collaborative efforts have contributed to the success of various projects within the company.

Conclusion

Andrew Nelson Wilt is a distinguished inventor whose work in data maintenance and restoration has made a significant impact in the field. His innovative patents and contributions at IBM continue to shape the future of data management technologies.