云计算环境下网络抖动状态的检测方法研究

Cloud Computing Environment Network Jitter State Detection Method Research

在云计算环境下网络抖动状态的检测时,由于具有复杂性和特征多样性,造成发送端至接收端的可变延迟节点受到制约。采用传统的方法进行网络抖动状态的检测,使得加权模糊熵受到上述制约条件的干扰,导致检测时间长,精确度低的问题。提出采用模糊相对熵算法的网络抖动检测方法。针对网络抖动的产生条件及相关特性构建网络抖动检测的数学模型,依据相对熵相关原理,通过监测网络正常时延状态得到测度的经验分布,进行模糊相对熵计算,获取若干个测度的加权模糊相对熵,根据得到的阈值对网络抖动状态进行判定,实现云计算环境下网络抖动状态的有效检测。实验结果表明,采用改进算法进行云计算环境下网络抖动状态的检测,能够提高抖动检测的精确度与检测效率,提高网络负载均衡能力。

Network jitter in cloud computing environment state detection, because it has the characteristics of complexity and diversity, caused the sender to the receiver node constrained variable delay. Using the traditional method to detect the state of the network jitter for weighted fuzzy entropy is restricted by the conditions of interference, lead to test time is long, the problem of low accuracy. Proposed network jitter detection method based on fuzzy rela- tive entropy algorithm. Based on the conditions and related characteristics of the network jitter to build the mathemati- cal model of network jitter detection, according to principle of relative entropy related measure is obtained by monito- ring network normal time delay of the empirical distribution of fuzzy relative entropy calculation, obtain the weighted fuzzy relative entropy of a number of measures, according to the threshold to determine network jitter state, the state of the cloud computing environment network jitter detection effectively. The experimental results show that the im- proved algorithm is used to detect the network jitter of the state of the cloud computing environment, can improve the accuracy of the jitter detection and testing efficiency, improve the network load balancing ability.