Algorithm for accessing thousands of Beidou terminals to same server

Abstract

An algorithm for connecting tens of thousands of Taipei Dou terminals to the same server. The invention involves the server adopting the IOCP kernel queuing as the basic communication engine and combining the thread pool, process pool, and UDP-QQS technology to form a network cluster, forming high availability under the database cluster Network processing architecture for data processing and analysis with high concurrency, stability, and scalability; using Windows server clusters to provide uninterrupted services when hardware or software components fail or during planned maintenance; by adding multiple processors To expand the server to make it more manageable; use network load balancing for distributed job scheduling, use centralized or distributed strategies to deploy network service requests, and monitor each node in the life cycle of each service request valid status. By improving the high concurrency, scalability, accuracy and timeliness of the server, it is possible to connect tens of thousands of Taipei Dou terminals to the same server.

Description

technical field [0001] The invention relates to a method for connecting tens of thousands of Taipei Dou terminals to the same server by improving the high concurrency, scalability, accuracy and timeliness of the server. Background technique [0002] With the continuous development of Beidou (GPS) positioning technology, more and more such devices (such as car navigation and monitoring equipment) are installed on vehicles. Since customers need to know the driving status and driving position of their vehicles at any time, they need Install a car-checking client on each customer's computer. At this time, the access volume of the client and the concurrency of the server become important indicators for testing the performance of a server. [0003] The traditional method to improve server performance is: after each client connects, the server starts a new thread to communicate with the client, so as many clients as there are, how many threads need to be started, because these thre...

AI Technical Summary

Problems solved by technology

[0003] The traditional method to improve server performance is: after each client connects, the server starts a new thread to communicate with the client, so as many clients as there are, how many threads need to be started, because these threads It is all due to the running state, the system must switch between all threads, and the CPU is busy switching threads, so there is no time to execute the thread body, resulting in relatively low performance. With the growth of future business requirements, concurrent processing of the server and The timeliness of business requirements will be affected, and hardware costs will need to be increased to solve performance problems; at the same time, when the business volume decreases, the corresponding hardware devices may need to be removed, and server maintainability and scalability will be relatively low