基于流量预测的低功耗有损网络节点缓存系统设计

Design of flow prediction based node cache system for low⁃power consumption damaged network

为缩短因Internet用户数量递增而造成的网络固有延迟,实现对流量数据信息的及时缓存处理,设计基于流量预测的低功耗有损网络节点缓存系统。以网络缓存拓扑框架作为基本数据依附条件,在按需连接通信协作器、文档替换器两类执行模块的同时,完成节点缓存系统的硬件执行环境搭建。在此基础上,提出一致性哈希算法,通过多级服务器同步缓存的处理方式建立理想化的缓存置换策略,完成系统的软件执行环境搭建,结合相关硬件设备元件,实现基于流量预测低功耗有损网络节点缓存系统的顺利应用。对比实验结果表明,与传统系统相比,所设计系统的网络固有延迟水平更低,单位时间内可转存的流量数据信息总量更大,可有效解决因Internet用户数量递增造成的数据缓存处理不及时的问题。

A node cache system based on flow prediction is designed for low⁃power consumption damaged network to shorten the network inherent delay caused by increasing Internet users and realize the timely cache processing of flow data information.By taking network cache topology framework as the basic data attachment condition,the hardware execution environment of the node cache system is constructed while connecting the execution modules of communication collaborator and document replacement device as required.On the basis of the above,the consistent Hashing algorithm is proposed.An idealized cache replacement strategy is established in the processing mode of multi⁃level server synchronous cache,so as to construct the system software execution environment.The system software execution environment and the related hardware components are combined to realize a smooth application of low⁃power consumption network node cache system based on flow prediction.The results of a contrast experiment show that,in comparison with the traditional system,the designed system has the lower network inherent delay level,and the total amount of the flow data information that can be unloaded in unit time is larger,which can effectively deal with the delayed data cache processing caused by increasing Internet users.