Server cluster system and load balancing implementation method thereof

Abstract

The invention provides a server cluster system and a load balancing implementation method of the server cluster system. The system comprises a main node, a standby node and common nodes. The main node comprises an information collecting module, a load calculating module and a connecting and distribution deciding module. The standby node is used for reporting the information of the standby node to the main node, and synchronizes with the information of the main node, and the common nodes are screened, so that the selected common node is adopted as a new standby node after the common node becomes the main node. The common nodes are used for reporting the information of the common nodes to the main node, and when one common node becomes the standby node, standby node switching is carried out. Through the server cluster system and the load balancing implementation method, the server cluster system with the main node and the standby node of a mesh network is adopted, the structure of the main node and the standby node is utilized for achieving connection and distribution, the function of sharing connection is achieved, and the problems that connection and distribution delay, and connection is unstable and unreliable can be solved.

Description

technical field [0001] The present invention relates to the technical field of server clusters, and more specifically, to a server cluster system and a load balancing implementation method thereof. Background technique [0002] With the increase of car ownership, the aggravation of road congestion and the frequent occurrence of traffic safety accidents, more and more organizations and individuals realize that a deep understanding of drivers' driving behavior will help to formulate more reasonable traffic laws And design a more effective intelligent driving navigation system, so as to achieve the purpose of reducing traffic accidents and improving traffic efficiency. The above-mentioned analysis needs to be based on a large amount of driving data, and a large number of intelligent terminals (including vehicle terminals, mobile phone terminals and other equipment) are required to continuously collect and upload the driving data in real time to the vehicle server for analysis. ...

AI Technical Summary

Problems solved by technology

[0006] The defect of this solution is: since the reverse proxy server is in the application layer in the OSI seven-layer model, a reverse proxy server must be specially developed for each application service, which limits the application of the reverse proxy load balancing technology. Application range

In the same way, when the amount of requests increases, the maintenance of the request mapping table also needs to consume a lot of resources. Compared with the reverse proxy technology, it is more likely to cause performance problems of the address translation server; finally, in the actual use of the address translation service at present In traditional load balancing, the address translation function is mostly integrated in the hardware switch, which implements only a simple selection strategy, cannot support more optimized load balancing strategies and more complex application protocols, and has certain difficulties in expansion

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