Adaptive network rapid configuration and load balancing system based on edge computing

Abstract

The invention discloses an adaptive network rapid configuration and load balancing system based on edge computing. The system comprises a configuration module used for distributing identification codeintervals and identification codes, a detection module used for detecting the load state of a server, an arrangement module used for adjusting the identification code intervals of the server, an updating module used for updating the identification code intervals, an acquisition module which is used for receiving a request message and receives a request message, an optimization module which is used for carrying out data optimization on the request message, a processing module which is used for acquiring the identification code and the data content corresponding to the request message, a searching module which is used for searching the identification code and the identification code interval and has the same content access object field; and a configuration execution module which is used fordistributing the request message to the same server for processing. The system has the beneficial effects that the burden of the server is reduced, and the operation efficiency of a plurality of servers at the rear end of the system can be greatly improved.

Description

technical field [0001] The invention relates to the technical field of balancing systems, in particular to an edge computing-based adaptive network rapid configuration and load balancing system. Background technique [0002] A cloud node (node) has certain virtual network resources, virtual storage resources, and virtual computing resources, and can build its own cloud node on the terminal of the cloud computing user by sending a request to the cloud computing service provider (that is, "private cloud ”) of a virtual computer. Cloud nodes are usually formed by starting huge virtual machines on physical machines built by cloud service providers. [0003] The cloud computing platform provides a large-capacity, high-configuration server cluster, which improves service capabilities and operating speed, but also faces problems such as high concurrency of network access. What load balancing realizes is to distribute the tasks of one computer to two or more computers to complete,...

AI Technical Summary

Problems solved by technology

[0004] However, under the traditional load balancing model, due to the dynamic allocation of the servers connected by the client, each time the client connects to the server, especially when a large number of clients frequently go online and offline, the servers need to synchronize the connection information among all nodes , it is easy to cause problems such as deadlock, which may eventually lead to a decrease in the number of users, especially in the case of many nodes, data must be synchronized between every two nodes, forming a complex network structure, increasing the burden on the server and affecting instant messaging server performance

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