摘要
为了实现数据中心巡检机器人信息平台实时任务容错性,提出一种基于自适应反馈均衡和码元调制技术的数据中心巡检机器人信息平台实时任务容错调度模型。首先构建路由冲突下的数据中心巡检机器人信息平台传输信道模型,优化数据中心巡检机器人信息传输协议。然后采用模糊C均值聚类的方法进行巡检机器人信息融合,结合自适应反馈均衡方法进行巡检机器人信息传输的信道均衡设计,采用码元调制方法进行信息平台的实时任务容错调度。最后进行仿真实验。结果表明,采用该方法进行数据中心巡检机器人信息平台实时任务调度的容错性较好,信息平台的信道均衡性较强,提高了数据中心巡检机器人信息平台的任务实时调度能力。
In order to realize real-time task fault tolerance of data center patrol robot information platform,a real-time task fault tolerant scheduling model of data center patrol robot information platform based on adaptive feedback equalization and symbol modulation technology is proposed.Firstly,the transmission channel model of patrol robot information platform in data center under route conflict is constructed,and the information transmission protocol of patrol robot in data center is optimized.Then,the information fusion of patrol robot is carried out by using the method of fuzzy C-means clustering,the channel equalization design of patrol robot information transmission is carried out by combining the adaptive feedback equalization method,and the real-time tasks fault-tolerant scheduling of information platform is carried out by symbol modulation method.Finally,the simulation results show that the method has better fault tolerance and better channel equalization for real-time task scheduling of the data center patrol robot information platform,which improves the real-time task scheduling ability of the data center patrol robot information platform.
作者
胡全贵
赵恩来
贾伟昭
开北强
HU Quan-gui;ZHAO En-lai;JIA Wei-zhao;KAI Bei-qiang(Beijing SGITG-Accenture Information Technology Co., Ltd., Beijing 100032, China)
出处
《计算机与现代化》
2020年第5期50-55,共6页
Computer and Modernization
关键词
数据中心
巡检
机器人
信息平台
实时任务
容错调度
data center
patrol
robot
information platform
real-time task
fault-tolerant scheduling
