一种用于大数据平台扩容升级的性能监控系统及方法
By collecting and calibrating key information of the Web server during the expansion and upgrade of the big data platform, and combining historical and real-time load data to perform dynamic load balancing weight configuration, the problem of lack of accuracy in load balancing configuration in existing technologies has been solved, and the stable operation of the platform and efficient utilization of resources have been achieved after the expansion.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUIZHOU WUJIANG HYDROPOWER DEV
- Filing Date
- 2026-04-02
- Publication Date
- 2026-07-17
AI Technical Summary
During the expansion and upgrade of existing big data platforms, the performance monitoring mechanism does not fully combine historical operating load data before expansion with real-time operating load data after expansion, resulting in a lack of accuracy in load balancing weight configuration. This can easily lead to problems such as unstable service response, unbalanced resource utilization, and low cache access efficiency after expansion.
By collecting key information from newly added web servers to form a standardized configuration dataset, establishing a two-way communication link and calibrating cluster collaboration parameters, and combining historical and real-time load data to dynamically configure load balancing weights, and making secondary adjustments based on cache type, the system ensures accurate load balancing adaptation.
It improved the standardization of node deployment and cluster compatibility during the expansion phase, enhanced the targeting of performance monitoring, achieved accurate adaptation of load balancing weights, ensured the stability of platform operation and efficient utilization of cache resources after expansion, and reduced the query load and data processing pressure of the backend database.
Smart Images
Figure CN121967423B_ABST