Design and implementation of a elastic self organizing multi cluster management system
Xia Lingming, Zhou Jun, Zhao Feng
Future Network Research Center, Network Communication and Security Purple Mountain Laboratory, Nanjing 211111, China
Abstract： When cloud native technologies such as Kubernetes are applied in the industry, their carrying capacity is limited, they cannot meet higher availability requirements, and are easily locked in by cloud providers. The implementation and operation of strategies such as Eastern Data and Western Computing need to be based on multi cluster management technology. However, traditional cloud management platforms cannot meet the challenges of service deployment and governance across multi cloud applications. Aiming at the above problems, this paper puts forward a new concept of softwaredefined selforganizing infrastructure management and idempotent hierarchical scheduling. An elastic infrastructure management architecture with clusters as the smallest unit is designed and implemented, which can make multiple Kubernetes clusters into a multicluster organization scheme with any topology structure such as central, decentralized and tree, and carry out cross cloud scheduling and management of applications. The tree structure is tested and compared with other solutions, which can well meet the huge number clusters organization and management requirements in the future distributed cloud scenario while keep the registration latency of cluster limit to 1 s, scheduler latency limit to 200 ms.
