Company Filing History:
Years Active: 2006-2014
Title: Michael S. Murley: Innovator in Database Recovery and Indexing
Introduction
Michael S. Murley is a notable inventor based in Austin, TX, with a focus on database technologies. He holds a total of 4 patents that contribute significantly to the field of data management and recovery. His work is characterized by innovative solutions that enhance the reliability and efficiency of database systems.
Latest Patents
One of Murley's latest patents is titled "Database recovery using logs applied to consistent copies." This invention introduces a copy utility that creates transactionally consistent copies of database objects at a specific point in time. The recovery utility then applies log records to this consistent copy, ensuring that no in-flight transactions are lost during the recovery process. The utility registers a starting point for log application and a smallest lock size to manage access to the target data effectively.
Another significant patent is the "Method and apparatus for building index of source data." This invention outlines an online index-building operation that minimizes the loss of availability to source data while creating a consistent image of the data. The operation updates the index to reflect changes in the source data, ensuring that it remains current and accessible.
Career Highlights
Michael S. Murley is currently employed at BMC Software, Inc., where he continues to develop innovative solutions in database management. His expertise in creating efficient recovery and indexing methods has made a substantial impact on the industry.
Collaborations
Throughout his career, Murley has collaborated with notable colleagues, including Thomas G. Price and Stanley James Dee. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.
Conclusion
Michael S. Murley's contributions to database recovery and indexing exemplify his commitment to innovation in technology. His patents reflect a deep understanding of the challenges in data management and offer practical solutions that enhance system reliability.