2results about How to "Improve business performance" patented technology

This invention belongs to the field of cloud computing and network traffic control technology, and relates to an intelligent network traffic control method and system for containerized clusters. Based on pre-configured rules, it distinguishes between public network and internal network traffic in real time along the data forwarding path. It periodically monitors the total public network traffic of the cluster and dynamically calculates bandwidth limit parameters using a closed-loop feedback control algorithm. Then, it applies dynamic parameters to public network traffic for real-time shaping, while applying a completely independent static protection strategy to internal network traffic. Finally, it independently monitors the status of the control layer at the data execution layer, automatically releasing public network traffic control in case of disconnection, and ensuring business continuity by adhering to the Fail-Open principle. This invention aims to solve problems in traditional solutions such as indiscriminate control that may damage the internal network, the inability of static configuration to adapt, single points of failure in centralized architectures, and the lack of intelligent closed-loop control. It effectively improves bandwidth utilization and business performance, protects critical internal network traffic, significantly reduces operational complexity, and enhances system robustness.

The application is suitable for the field of information technology, and provides an intelligent scheduling method, system, device and medium based on web workers, wherein the method comprises the following steps: obtaining historical user request data, performing data analysis on the historical user request data by using a decision tree algorithm, and establishing a request content trend model; a shared scheduling model is established, which is used for sharing web worker configuration schemes between different request contents; a web worker pre-configuration scheme is obtained through the shared scheduling model according to the request content trend model; and a pre-training model is established by using a transfer learning technology, which is used for generating web worker pre-configuration schemes in different business fields. The application has strong adaptability and expansibility, can adapt to changing business requirements, and can quickly respond to user requests.