摘要
在信息技术背景下,针对非均质性的海量复杂异构数据繁多、处理和存储困难等问题,提出了新型混合云存储系统架构。采用的方法是在该系统中设置数据管理中心、客户端、云端数据接口、网络数据融合算法模型、负载均衡器和多协议转换器,实现复杂数据的处理和计算,并采用网络数据融合算法实现非均质性的海量复杂异构数据的融合和计算,使系统具有较好的兼容性,提高了数据的存储能力。本研究还采用了加权最少连接调度算法,能够将接收到的数据请求分配到最合适的服务器中,提高了数据分配能力。
In the current method,the evaluation of multi-mode protocol adaptation is poor.When dealing with multi-mode protocol adaptation and heterogeneous network fusion,the problems of low reliability,high blocking rate,and high packet loss rate are addressed.In the paper,a heterogeneous network communication data fusion method based on high-balanced multi-mode protocol adaptation is designed.This method consists of two steps:multi-mode protocol adaptation and heterogeneous network fusion.Firstly,through the differentiation evolution protocol adapter,a multi-mode protocol adaptation model is constructed to complete the heterogeneous network multi-mode protocol difference format conversion,and the multi-mode protocol is different.The network data is converted into the same format in a unified manner,then for the converted data,a new heterogeneous data fusion algorithm is adopted to realize the fusion of heterogeneous network communication data.Finally,the UMTS+WLAN multi-mode protocol adaptation and heterogeneous network fusion problems are used as examples to implement the fusion effect test.
作者
屈春一
Qu Chunyi(State Grid East Inner Mongolia Information&Telecommunication Company,Hohhot 010010,China)
出处
《单片机与嵌入式系统应用》
2021年第8期26-30,共5页
Microcontrollers & Embedded Systems
基金
配电物联网平台研发、海量数据聚合及场景验证研究(项目编号:YF201905)。
关键词
异构数据
网络数据融合算法
负载均衡器
多协议转换器
加权最少连接调度算法
heterogeneous data
network data fusion algorithm
load balancer
multi protocol converter
weighted least connection scheduling algorithm