This inventor holds 1 USPTO granted patent. Top assignee: Google Inc.. Active years: 2014.
Company Filing History:
Years Active: 2014
Title: Algis P Rudys: Innovator in Deterministic Data Processing
Introduction
Algis P Rudys is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of data processing, particularly through his innovative patent. His work focuses on methods, systems, and apparatus for processing event data, which has implications for various computing applications.
Latest Patents
Algis P Rudys holds a patent for "Deterministic data processing - Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing event data." This patent outlines a method that assigns events to event bundles based on timestamps associated with the events. Each event bundle contains events that occur within a pre-specified period of time. The invention also describes the creation of event batches, where each batch includes a specified number of event bundles. A first event batch is provided to two computing groups, each configured to perform different processing stages. The method includes a mechanism to determine when a threshold number of event bundles have been processed, allowing for efficient data handling.
Career Highlights
Algis P Rudys has had a distinguished career, primarily working with Google Inc. His expertise in data processing has positioned him as a valuable asset in the tech industry. His innovative approach to event data processing showcases his ability to address complex challenges in computing.
Collaborations
Algis has collaborated with notable colleagues, including Yuewei Wang and Stewart Yang. These collaborations have likely contributed to the advancement of his research and the successful development of his patent.
Conclusion
Algis P Rudys is a prominent figure in the realm of data processing innovations. His patent reflects a deep understanding of event data management and showcases his contributions to the field. His work continues to influence advancements in technology and data processing methodologies.
