Company Filing History:
Years Active: 2014-2015
Title: Hsiang-Yao Cheng: Innovator in Virtual Machine Resource Management
Introduction
Hsiang-Yao Cheng is a notable inventor based in New Taipei, Taiwan. He has made significant contributions to the field of virtual machine resource management, holding two patents that enhance the efficiency and sustainability of virtual machine clusters.
Latest Patents
Cheng's latest patents include a "Method of Dynamic Resource Allocation for a Virtual Machine Cluster." This innovative method calculates the resource usage weight of both virtual and physical machines to optimize load balancing. By identifying the physical machine with the greatest resource usage weight as the migration source and the one with the least as the migration object, the method effectively migrates virtual machines to achieve balanced resource distribution.
Another significant patent is the "Method for Managing Green Power of a Virtual Machine Cluster." This method determines the optimal number of physical machines to operate based on the resource weight ratio of the virtual machine cluster. It intelligently manages the activation and deactivation of physical machines to promote energy efficiency, ensuring that resources are utilized effectively while minimizing environmental impact.
Career Highlights
Hsiang-Yao Cheng is affiliated with Tunghai University, where he continues to advance research in virtual machine technology. His work focuses on improving resource allocation and energy management in computing environments, contributing to the broader field of sustainable technology.
Collaborations
Cheng collaborates with esteemed colleagues such as Chao-Tung Yang and Kuan-Chieh Wang. Their combined expertise fosters innovation and drives research initiatives within their institution.
Conclusion
Hsiang-Yao Cheng's contributions to virtual machine resource management exemplify the intersection of technology and sustainability. His patents not only enhance operational efficiency but also promote environmentally friendly practices in computing.