Ziqiang Wang

Title: Ziqiang Wang: Innovator in Predictive Resource Allocation

Introduction

Ziqiang Wang is a notable inventor based in Ottawa, Canada. He has made significant contributions to the field of resource management through his innovative patent. His work focuses on optimizing the allocation of network resources to enhance efficiency in distributed workloads.

Latest Patents

Ziqiang Wang holds a patent for "Predictive resource allocation and scheduling for a distributed workload." This patent outlines systems and methods for predicting how tasks should be allocated to available network resources. The method involves receiving resource utilization metrics from various nodes in a cluster, which include information on resource utilization over multiple time periods. It also predicts current and forthcoming resource availability based on historical patterns. When a job request with multiple workload responsibilities is received, the method allocates these responsibilities to nodes based on their predicted resource availability, ensuring efficient job fulfillment.

Career Highlights

Ziqiang Wang is currently employed at Ciena Corporation, where he applies his expertise in resource allocation and scheduling. His innovative approach has the potential to significantly improve the efficiency of network resource management.

Collaborations

Some of his coworkers include Gauravdeep Singh Shami and Marc Lyonnais, who contribute to the collaborative environment at Ciena Corporation.

Conclusion

Ziqiang Wang's contributions to predictive resource allocation demonstrate his commitment to innovation in technology. His patent reflects a deep understanding of network resource management, which is crucial in today's data-driven world.