大数据中信息资源均衡分配仿真

发布时间：2018-08-19 19:43

【摘要】：对大数据中信息资源的均衡分配,能有效提升网络信息资源的利用率。对信息资源进行均衡分配,需要给出资源传递路径链,得到信息资源均衡分配机制,完成信息资源均衡分配。传统方法根据网络信息频道分布支配与功率控制方程,得到信息共享效用函数,但忽略了得到信息资源均衡分配机制,导致均衡效果不理想。提出基于关键路径链的大数据中信息资源均衡分配方法。利用多属性决策方法给出用户与信道的分配关系,得到资源均衡分配时所传输的平均数据量,组建网络资源的共享模型,给出资源均衡分配时的传递路径链,得到信息资源均衡分配机制,通过变异操作对大数据中信息资源均衡分配机制进行调整,给出大数据中信息资源均衡分配最优机制,完成对大数据中信息资源均衡分配。仿真证明,所提方法稳定性强,为信息资源均衡分配的有效实施奠定了基础。
[Abstract]:The balanced allocation of information resources in big data can effectively improve the utilization rate of network information resources. In order to allocate information resources in a balanced way, we need to give the transfer path chain of information resources and obtain the mechanism of information resources equilibrium allocation to complete the balanced allocation of information resources. The traditional method obtains the information sharing utility function according to the network information channel distribution dominating and power control equations, but neglects to obtain the information resource equilibrium allocation mechanism, which leads to the unsatisfactory equalization effect. This paper presents a method of information resource allocation in big data based on critical path chain. In this paper, the relationship between user and channel is given by using multi-attribute decision method, and the average amount of data transmitted when resource is equalized is obtained. The sharing model of network resources is established, and the transfer path chain is given. The information resource equilibrium allocation mechanism is obtained, and the information resource equilibrium allocation mechanism in big data is adjusted by variation operation. The optimal information resource equilibrium allocation mechanism in big data is given, and the information resource equilibrium allocation in big data is completed. The simulation results show that the proposed method is stable and lays a foundation for the effective implementation of the balanced allocation of information resources.
【作者单位】：天津中德应用技术大学图书馆;
【基金】：天津市教育科学"十三五"规划课题(VESP3003)
【分类号】：TP311.13

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