论文部分内容阅读
在大数据时代,使用感知网络对数据中心运营的物理环境进行监测非常必要,但感知网络的可靠性定量分析操控困难,在实际应用中无法准确计算其可靠性而导致监测失败.针对这种情况,提出数据中心感知网络可靠性的概率分析模型,研究了节点本身可靠性和其传输路径可靠性的概率分布.实验结果表明,面向数据中心感知网络的可靠性可以由节点发送数据次数为随机变量的可靠度函数描述,有效指导了数据中心感知网络的建设.
In the era of big data, it is necessary to use the perceptual network to monitor the physical environment of the data center operation, but it is difficult to quantitatively analyze the reliability of the perceptual network and fail to accurately calculate its reliability in practical applications. , A probabilistic analysis model of data center perceptual network reliability is proposed and the probability distributions of the node itself reliability and its transmission path reliability are studied.The experimental results show that the reliability of data center perceptual network can be determined by the number of times the node sends data as a random variable The reliability function description effectively guides the construction of data center awareness network.