This inventor holds 1 USPTO granted patent. Top assignees: Harbin Institute of Technology Shenzhen Graduate School, Shenzhen University. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: **Innovator Changyin Liang: Pioneering Cloud Computing Solutions**
Introduction
Changyin Liang is a notable inventor based in Guangdong, China, known for his innovative contributions to the field of cloud computing. With a focus on optimizing task allocation processes within cloud environments, Liang's work has significant implications for enhancing computing efficiency and performance.
Latest Patents
Changyin Liang holds a patent for a "Cloud computing task allocation method and device, apparatus, and storage medium." This invention introduces a method that constructs a cloud task allocation model upon receiving a cloud task allocation request. It employs an ant colony algorithm for optimizing task allocation and a genetic algorithm to evolve allocation paths. Ultimately, the method allocates computing tasks to virtual machines, effectively improving the performance of cloud computing task allocation.
Career Highlights
Throughout his career, Liang has been associated with prestigious institutions such as Shenzhen University and Harbin Institute of Technology Shenzhen Graduate School. His work at these institutions has allowed him to refine his innovations and contribute to the body of knowledge in computer science and cloud technologies.
Collaborations
During his professional journey, Changyin Liang has collaborated with talented individuals like Yong Zhang and Linlin Tang. These partnerships have enriched his research and supported the development of his groundbreaking inventions in cloud computing.
Conclusion
Changyin Liang's inventive spirit and commitment to advancing cloud computing technologies are commendable. His patent reflects a significant step forward in task allocation methods, showcasing the potential of innovative algorithms in improving computing efficiencies. As he continues to evolve his research, Liang remains a key figure in the landscape of technological innovation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile