A distributed scheduling method and system based on zookeeper dual-plane data architecture

Abstract

The present invention relates to a distributed scheduling method and system based on a zookeeper dual-plane data architecture, including constructing a dynamic tree and a static tree in the zookeeper; storing general configuration information of a business system into node information of a corresponding static tree; business programs Generate temporary dynamic nodes in the dynamic tree when starting, and set the attribute information of the business program into the temporary dynamic nodes; the distributed scheduler obtains the static tree node information and dynamic tree node information respectively, and selects the optimal node according to the predetermined selection principle The temporary dynamic node of the system, and then obtain the corresponding business program, and realize the connection between the distributed scheduler and the business program. The present invention indicates the logical load structure of the load balancer through the static tree, and performs real-time management and control on the operation of existing applications through the dynamic tree. The linkage between the dynamic tree and the static tree realizes the dynamic combination of logical load and actual operation, making the cloud system Deployment and switching are efficient and fast, and the system has high flexibility.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a distributed scheduling method and system based on a zookeeper dual-plane data architecture. Background technique [0002] With the development of telecommunication business data services, the process of traffic fee calculation, billing and credit control increasingly requires real-time performance. At the same time, with the gradual development of business requirements such as directional traffic, smart pipelines, and pipeline management, data traffic segmentation has become the only way to go. Real-time requirements and data traffic segmentation will generate more service usage records, which will challenge the processing capacity of the existing BOSS system. [0003] From another perspective, with the continuous rollout of 4G services, faster access speeds will generate more service usage records; at the same time, faster access speeds will also cause greater ...

AI Technical Summary

Problems solved by technology

[0004] The surge in business demand has brought about various problems, automatic connection and flexible switching between systems are not easy to achieve, and architecture changes have a greater impact on business construction, system synchronization, timeliness of system exception handling, and flexibility in business system expansion Sexual realization brings great difficulty

The deployment and switching efficiency of the system is not high, and the system flexibility is low

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