网络空间有用信息资源均衡调度仿真

发布时间：2018-03-08 00:19

本文选题：网格空间　切入点：有用信息　出处：《计算机仿真》2017年10期 　论文类型：期刊论文

【摘要】：网格空间有用信息资源的均衡调度,能够有效提高网格空间中有用信息资源的利用率。对信息资源的均衡调度,需要提取滤波输出的资源信息流的关联维特征,设置资源调度的约束函数,完成有用信息资源的均衡调度。传统方法获取节点资源利用率,组建请求流量矩阵,但忽略了设置资源调度的约束函数,导致资源调度效果不理想。提出基于改进膜计算的网格空间中有用信息资源调度方法。利用膜计算方法构建网格空间中有用信息资源流的时间序列分析模型,对拟合的资源信息流进行滤波降噪预处理,提取滤波输出的资源信息流的关联维特征,设置资源调度的约束函数,将蚁群个体引入到膜计算中,给出资源与任务的最优匹配函数,利用上述方案完成对网格空间中有用信息资源调度。仿真证明,所提方法调度精度高,有效提升了有用信息资源的利用率。
[Abstract]:The balanced scheduling of useful information resources in grid space can effectively improve the utilization of useful information resources in grid space. By setting the constraint function of resource scheduling and completing the balanced scheduling of useful information resources, the traditional methods obtain the utilization ratio of node resources, set up the request flow matrix, but ignore the constraint function of setting resource scheduling. In this paper, a method of scheduling useful information resources in grid space based on improved membrane computing is proposed. The time series analysis model of useful information flow in grid space is constructed by using membrane computing method. The fitting resource information flow is preprocessed by filtering and denoising, the correlation dimension feature of the resource information flow is extracted, the constraint function of resource scheduling is set up, and the ant colony individual is introduced into the membrane computation. The optimal matching function of resources and tasks is given and the scheduling of useful information resources in grid space is accomplished by using the above scheme. The simulation results show that the proposed method has high scheduling accuracy and effectively improves the utilization ratio of useful information resources.
【作者单位】：吉林建筑大学城建学院;
【基金】：吉林省教育厅十三五科学技术研究项目(2016526)
【分类号】：TP393.02

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