基于GridGain云计算平台的监控管理信息分解聚合研究

Monitoring Information Split/Aggregate Research Based on GridGain Cloud Computing Platform

针对监控管理系统中大数据集信息处理效率低的问题,利用GridGain云计算平台提出了一种信息分解聚合处理新方法;通过对信息标准化建模和大集信息应用的分析,利用Proxool中间件建立了监控数据库连接池,利用多播传输的云计算节点通信方法,实现了信息管理的分解聚合处理;将云计算节点数从4个增至8个对106个监测信息的压力测试表明:分解聚合处理效率与云计算节点规模相关,响应时间从117.5s降49.4s,信息处理效率提高了57.9%,云计算有效避免了大集信息处理延时过长问题。

In order to solve low efficiency program of large data sets in monitoring system, split and aggregate method is proposed based on GridGain cloud computing platform. Monitoring database connection pool is built which is based on standard application information model and big sets of information. Split and aggregate processing of monitoring information is implemented, which is using multicast transmission cloud computing node communication method. The cloud nodes are increased from four to eight pairs, which using 106 monitoring information test system. The results show that efficiency of split and aggregate processing is related to cloud computing node size, response time is decreased from 117. 5s to 49.4s, information processing efficiency is improved by 57.9%. Cloud computing can avoid the problem of large sets of information processing delay.