Years Active: 2025
Title: Zizo Gowayyed: Innovator in Data Processing Systems
Introduction
Zizo Gowayyed is a notable inventor based in San Francisco, CA (US). He has made significant contributions to the field of data processing through his innovative patent. His work focuses on optimizing resource allocation in data processing systems, which is crucial for efficient data management.
Latest Patents
Zizo Gowayyed holds a patent for a "Dynamic service level assignment system for data processing manager." This patent describes a data processing system that includes a queue manager responsible for receiving data processing requests and determining a queue depth that represents the number of pending requests. A load supervisor assigns a service level to each request based on the queue depth when the request is at the head of the queue. The system offers two service levels, with the second level requiring fewer computing resources than the first. This dynamic management system optimizes resource allocation by adjusting service levels based on the workload, ensuring efficient processing of data requests. He has 1 patent to his name.
Career Highlights
Throughout his career, Zizo has demonstrated a strong commitment to innovation in data processing. His work has been instrumental in developing systems that enhance the efficiency of data management processes. His contributions have been recognized within the industry, showcasing his expertise and dedication to advancing technology.
Collaborations
Zizo has collaborated with talented individuals such as Tim Stonehocker and Seyed Majid Emami. These partnerships have allowed him to leverage diverse skills and perspectives, further enhancing the impact of his innovations.
Conclusion
Zizo Gowayyed is a pioneering inventor whose work in data processing systems exemplifies the importance of innovation in technology. His patent for a dynamic service level assignment system highlights his ability to address complex challenges in data management. Through his contributions, he continues to shape the future of data processing.