网络中电子测量信息资源有效调度仿真研究
发布时间:2018-12-06 21:51
【摘要】:对网络中电子测量信息资源的调度,能够有效提升网络信息资源的利用率。对电子测量信息资源的调度,需要得到信息调度属性值的分布差异,计算其相对权重,完成测量信息资源的有效调度。传统方法得到各个信息的信任属性,给出每个测量信息的信任效益函数,但忽略了计算其相对权重,导致信息资源调度效果不理想。提出基于多属性信息的网络中电子测量信息有效调度方法。对大规模测量信息调度属性间的从属关系进行计算,得到测量信息调度属性值的分布差异,计算测量信息调度属性的相对权重,融合DPA调度优先级抢占方法计算信息任务的即时价值,获取当前剩余价值密度与开始时刻剩余价值密度的比率,计算出完成信息任务所需的执行时间与任务空余时间的比,以此为依据完成对网络中电子测量信息有效调度。实验结果表明,所提方法调度精度高,有效地提升电子测量信息资源的利用率。
[Abstract]:The scheduling of electronic measurement information resources in the network can effectively improve the utilization rate of network information resources. For the scheduling of electronic measurement information resources, we need to obtain the distribution difference of information scheduling attribute values, calculate their relative weights, and complete the effective scheduling of measurement information resources. The traditional method obtains the trust attribute of each information and gives the trust benefit function of each measurement information, but neglects to calculate its relative weight, resulting in the information resource scheduling effect is not ideal. An effective scheduling method for electronic measurement information in networks based on multi-attribute information is proposed. Based on the calculation of the dependent relation among the large-scale measurement information scheduling attributes, the distribution difference of the measurement information scheduling attributes is obtained, and the relative weights of the measurement information scheduling attributes are calculated. Combining DPA scheduling priority preemption method to calculate the immediate value of the information task, the ratio of the current residual value density to the initial residual value density is obtained, and the ratio of the execution time needed to complete the information task to the task spare time is calculated. Based on this, the effective scheduling of electronic measurement information in the network is completed. The experimental results show that the proposed method has high scheduling accuracy and can effectively improve the utilization rate of electronic measurement information resources.
【作者单位】: 贵州师范大学;
【基金】:2016年贵州省科学技术协会研究项目(201602)
【分类号】:TP393.0
,
本文编号:2366713
[Abstract]:The scheduling of electronic measurement information resources in the network can effectively improve the utilization rate of network information resources. For the scheduling of electronic measurement information resources, we need to obtain the distribution difference of information scheduling attribute values, calculate their relative weights, and complete the effective scheduling of measurement information resources. The traditional method obtains the trust attribute of each information and gives the trust benefit function of each measurement information, but neglects to calculate its relative weight, resulting in the information resource scheduling effect is not ideal. An effective scheduling method for electronic measurement information in networks based on multi-attribute information is proposed. Based on the calculation of the dependent relation among the large-scale measurement information scheduling attributes, the distribution difference of the measurement information scheduling attributes is obtained, and the relative weights of the measurement information scheduling attributes are calculated. Combining DPA scheduling priority preemption method to calculate the immediate value of the information task, the ratio of the current residual value density to the initial residual value density is obtained, and the ratio of the execution time needed to complete the information task to the task spare time is calculated. Based on this, the effective scheduling of electronic measurement information in the network is completed. The experimental results show that the proposed method has high scheduling accuracy and can effectively improve the utilization rate of electronic measurement information resources.
【作者单位】: 贵州师范大学;
【基金】:2016年贵州省科学技术协会研究项目(201602)
【分类号】:TP393.0
,
本文编号:2366713
本文链接:https://www.wllwen.com/guanlilunwen/ydhl/2366713.html