Democratic and autonomous cluster management method and system

Abstract

The invention provides a democratic and autonomous cluster management method. The democratic and autonomous cluster management method includes the following steps of: step 1, cluster startup; step 2, cluster operation autonomy; step 3, cluster split autonomy; step 4, cluster merged autonomy; step 5, cluster dynamic elastic autonomy; and step 6, cluster administrator governance. The invention also provides a corresponding system. With the democratic and autonomous cluster management method and system of the invention adopted, a cluster can have continuous external service and cluster management service providing ability when any single node is abnormal or a plurality of nodes are abnormal; at any state, maintenance upgrade can be performed on nodes in the cluster, and service nodes can be added into the cluster; third-party services are not required as for the selection of a master; and democratic and autonomous selection and generation of the master can be competed; split autonomy of the cluster is supported; fault tolerance and management performance can be improved; the highest administrative authority of the administrator is supported. The democratic and autonomous cluster management method can be widely applied to cluster management systems which require elastic flexibility, have high requirements for continuous service quality and have a large number of nodes in clusters.

Description

technical field [0001] The invention relates to a cluster management method, in particular to a cluster management system based on a democratic autonomy strategy among cluster subsystems, so as to improve the usability, manageability and expandability of the cluster system. Background technique [0002] With the development of information technology, the application of computer technology has reached an unprecedented extent, and the scale of systems and applications has doubled. In this case, a system cluster technology that can provide higher concurrent access and more stable service quality has emerged. The current cluster technology is mostly based on the Master-Slave model, and the Master-Slave cluster management method is implemented in the cluster system. Define a Mater management subsystem (node) and several Slave service providing subsystems (nodes). The Master node can provide cluster management services (some cluster systems are also designed to provide business se...

AI Technical Summary

Problems solved by technology

In order to ensure the uniqueness of cluster management, only one Master is designed in the cluster system (some improved Master-Slave cluster systems design a backup Master, but it cannot avoid the failure of both the Master and the backup Master), and the management function only Provided by the Master, so when the Master fails, although the entire cluster system can provide business services to the outside world normally, when the management function is lost, the cluster cannot be managed until the Master is repaired;

[0004] 2. The Master-Slave cluster system lacks the flexibility of elastic scaling

However, the selection of the Master in this invention requires a third-party service, which cannot be generated through democratic self-government selection. It needs to rely on a third-party service, and there is a single point of risk when the third-party service fails; and this invention can only have a large cluster limit, fault tolerance and less manageable

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