Kai Kang

Title: Innovations of Kai Kang in Cluster Management

Introduction

Kai Kang is an accomplished inventor based in Jinan, China. He has made significant contributions to the field of cluster management through his innovative patent. His work focuses on improving the efficiency of master node elections in storage clusters, which is crucial for the performance of hyper-converged cloud platforms.

Latest Patents

Kai Kang holds a patent titled "Method and system for electing master node in cluster." This patent outlines a comprehensive method for electing a master node in a cluster, which includes several key steps. The process begins with the creation of a storage cluster on a hyper-converged cloud platform, followed by the configuration of a status detection program and a full response operation function. Active node screening is then performed to obtain an active node set and a candidate node set. The method further involves setting a first data situation, detecting a second data situation, and executing a determination step to obtain a determination result. Depending on the result, the method elects either a first or second master node, thereby avoiding excessively long election times and unsuccessful elections. This innovation significantly enhances the deployment efficiency of clusters.

Career Highlights

Kai Kang is currently employed at Shandong Yingxin Computer Technologies Co., Ltd. His role at the company allows him to apply his expertise in cloud computing and cluster management, contributing to the development of advanced technological solutions.

Collaborations

Due to space constraints, the collaborations section has been omitted.

Conclusion

Kai Kang's innovative approach to master node election in clusters showcases his commitment to enhancing cloud technology. His patent not only addresses critical challenges in the field but also sets a foundation for future advancements in cluster management.