This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2014.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2014
Title: Innovations by Peng Liu in Job Scheduling
Introduction
Peng Liu is a notable inventor based in Beijing, China. He has made significant contributions to the field of computing, particularly in job scheduling within clusters of computing nodes. His innovative approach aims to enhance the efficiency and throughput of scheduling jobs in complex computing environments.
Latest Patents
Peng Liu holds a patent for a method and system for scheduling jobs in a cluster that comprises multiple computing nodes. The patent, titled "Scheduling jobs in a cluster having multiple computing nodes by constructing multiple sub-cluster based on entry and exit rules," outlines a method that includes defining rules for constructing virtual sub-clusters from the multiple computing nodes. The process involves dispatching jobs to selected virtual sub-clusters based on the characteristics of the jobs and the virtual sub-clusters themselves. This invention effectively increases the throughput of scheduling, making it a valuable contribution to the field.
Career Highlights
Peng Liu is currently employed at International Business Machines Corporation (IBM), where he continues to work on innovative solutions in computing. His expertise in job scheduling and cluster management has positioned him as a key player in his field.
Collaborations
Some of his notable coworkers include Zhi Wen Fu and Zi Ming Hu, who collaborate with him on various projects within IBM. Their combined efforts contribute to advancing technology in job scheduling and computing efficiency.
Conclusion
Peng Liu's work in job scheduling has the potential to significantly improve the performance of computing clusters. His innovative patent demonstrates a forward-thinking approach to solving complex problems in the field of computing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
