Company Filing History:
Years Active: 2017-2020
Title: Paula M Bach: Innovator in Distributed Computing
Introduction
Paula M Bach is a prominent inventor based in Redmond, WA, known for her contributions to the field of distributed computing. With a total of two patents to her name, she has made significant strides in job scheduling and monitoring technologies.
Latest Patents
Her latest patents focus on job scheduling and monitoring in a distributed computing environment. One patent describes a system where job execution can be scheduled and monitored, resulting in the generation of data slices that can be consumed by related jobs. These data slices are presented in an interactive view, allowing users to select them and trigger automatic identification of related data slices based on their dependencies. Each data slice includes a status indicating the availability of the corresponding data, such as pending, ready, or failed. Additionally, if a data slice fails to generate successfully, the system can identify related data slices that have also failed or are predicted to fail.
Another patent presents a user interface for viewing data transformation jobs. This interface allows for the automatic identification of related jobs after a job is selected, based on data dependencies. The execution status of jobs can be determined and presented, differentiating between successful and failed executions. If a job run fails, the system can also identify related job runs that have failed or are predicted to fail.
Career Highlights
Paula M Bach is currently employed at Microsoft Technology Licensing, LLC, where she continues to innovate in the field of technology. Her work has had a significant impact on how distributed computing environments manage job execution and data dependencies.
Collaborations
Some of her notable coworkers include Andrew James Peacock and Cheryl Couris, who contribute to the collaborative environment at Microsoft.
Conclusion
Paula M Bach's contributions to distributed computing through her innovative patents demonstrate her expertise and commitment to advancing technology. Her work continues to influence the way job scheduling and monitoring are approached in modern computing environments.