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Research on a Performance Enhancement Method for Heavy Load Network

机译:重载网络性能增强方法研究

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Response efficiency, load-carrying capacity, and intelligent fault-tolerant capability are three main performance bottlenecks which restrict the overall performance of the information network, so that the application system in the network is difficult to achieve the desired satisfactory results. Aiming at the above problems, this paper proposes a new network structure based on multi-node continuous collaboration and intelligent fault tolerance. In the new structure network, the user is divided into query group and read-write group according to the difference of user's permission to operate database. The user's access load in each group is handled by a separate task processing system. The task processing system consists of gateway group, communication link, application server group, database server group, and database. The real-time data synchronization problem is solved by data synchronization mechanism between databases. The problem of fault redundancy and load balancing is solved by cluster technology. The test results show that the information network performance bottleneck is greatly eliminated, the response efficiency of heavy load interval is more than 50 higher than that of traditional structural network, and the carrying capacity and intelligent fault tolerance capacity are obviously improved.
机译:响应效率、承载能力、智能容错能力是制约信息网络整体性能的三大性能瓶颈,使网络中的应用系统难以达到预期的满意效果。针对上述问题,提出一种基于多节点持续协作和智能容错的新型网络结构。在新结构网络中,用户根据用户操作数据库权限的差异分为查询组和读写组。每个组中的用户访问负载由单独的任务处理系统处理。任务处理系统由网关组、通信链路、应用服务器组、数据库服务器组和数据库组成。通过数据库间的数据同步机制解决数据实时同步问题。集群技术解决了故障冗余和负载均衡的问题。试验结果表明,信息网络性能瓶颈得到较大消除,重载间隔响应效率比传统结构网络高出50%以上,承载能力和智能容错能力明显提高。

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