微型电脑应用

随着宽带数字集群通信标准的演进和普及，高并发技术在通信领域的应用日益广泛。针对集群通信系统性能提升问题，提出一种动态的自适应高并发技术。使用动态并发请求调度处理队列算法，提升集群通信系统的性能；引入k-means聚类算法对请求分类流程进行优化；最后构建技术的实现架构。实验结果表明，在响应时间测试中，自适应高并发技术在并发请求数量为600个时的平均响应时间为63.2 ms;在请求成功率测试中，自适应高并发技术在并发请求数达到600个时的请求成功率为98.78%。测试结果说明，所提技术具有更好的运行性能和速率，能够有效应用在宽带数字集群通信标准中。

With the continuous popularization of broadband digital trunking communication standards, the application of high concurrency technology in the field of communication is becoming more and more extensive. A dynamic adaptive high concurrency technology is proposed to improve the performance of trunking communication systems. The dynamic concurrency request scheduling queue algorithm is used to improve the performance of the cluster communication system, and the k-means clustering algorithm is introduced to optimize the request classification process. Finally, the implementation architecture of the technology is constructed. The experimental results show that in the response time test, the adaptive high concurrency technology has an average response time of 63.2 ms when the number of concurrent requests is 600. In the request success rate test, the success rate of adaptive high concurrency technology request is 98.78% when the number of concurrent requests reaches 600. The results indicate that the proposed technology has good operational performance and speed, and can be effectively applied in broadband digital trunking communication standards.