异构型网络通信数据结构冲突检测仿真

发布时间：2018-03-05 06:17

本文选题：异构型网络　切入点：通信数据　出处：《计算机仿真》2017年10期 　论文类型：期刊论文

【摘要】：对异构型网络通信数据的结构冲突进行检测,能够有效提高异构型网络的稳定性和可靠性。对通信数据结构冲突的检测,需要选取冲突检测任务分配负载的节点集合,计算检测任务节点分配负载的概率,完成对通信数据结构冲突的检测。传统方法计算数据观测值与预测值之间的差异值,建立通信数据结构变化参考,但忽略了计算分配负载的概率,导致检测精度偏低。提出基于负载权值的异构型通信数据结构冲突检测方法。在各个节点获得各个待检测数据结构的局部等价类,对通信数据结构冲突检测任务进行分配,进行数据结构迁移,构建数据冲突检测响应代价模型,利用负载权值选取冲突检测任务分配负载的节点集合,引入负载差值计算检测任务节点分配负载的概率,使通信数据冲突检测任务负载分布均衡。实验结果表明,所提方法能够有效提升数据结构检测效率,且可扩展性较强。
[Abstract]:The structural conflict detection of heterogeneous network communication data can effectively improve the stability and reliability of heterogeneous network. The probability of load distribution of detection task node is calculated, and the conflict detection of communication data structure is completed. The traditional method calculates the difference between the observed value and the predicted value, and establishes the reference for the change of communication data structure. However, the probability of load distribution is neglected, which leads to low detection accuracy. A method of heterogeneous communication data structure conflict detection based on load weight is proposed. The local equivalent classes of each data structure are obtained at each node. The communication data structure conflict detection task is assigned, the data structure migration is carried out, the response cost model of the data conflict detection is constructed, and the load weight value is used to select the node set of the conflict detection task to distribute the load. The load difference is introduced to calculate the load distribution probability of the detection task node, and the load distribution of communication data conflict detection task is balanced. The experimental results show that the proposed method can effectively improve the efficiency of data structure detection and has strong scalability.
【作者单位】：杭州师范大学国际服务工程学院;
【分类号】：TN915.0

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