摘要
对复杂网络隐蔽信道资源进行合理调度,可提高复杂网络的资源利用率。进行资源调度时,需要在获取蔽信道状态和等待资源数据量动态关系的前提下进行调度,但是传统的队列调度算法利用复杂网络隐蔽信道和队列状态信息进行资源调度,但不能对蔽信道状态和等待资源数据量进行实时更新,无法获取二者的动态关系,降低了资源调度的准确性。提出一种改进优先级公平调度的复杂网络隐蔽信道资源快速调度方法,先得出复杂网络资源调度优先级与隐蔽信道状态和等待数据量的关系,依据给定的资源调度优先级函数获取复杂网络中各队列在每个信道资源单元的调度优先级,利用马尔可夫链通过当前时隙的隐蔽信道状态预测下一个时隙的隐蔽信道状态,并将隐蔽信道资源调度的问题描述成求解效用函数最大的优化问题,获取了复杂网络隐蔽信道资源快速调度策略。仿真结果表明,上述方法提高了网络隐蔽信道资源利用率与效率。
A fast scheduling method of covert channel resource in complex network based on fair scheduling with modified priority is proposed. Firstly,the relationship between scheduling priority and covert channel state and data quantity of awaiting resource is obtained. Then the scheduling priority of each queue in each channel resource unit is obtained according to the given function of resource scheduling priority. The Markov chain is used to predict the covert channel state of next time slot through the current one. Finally,the scheduling problem is described as the optimization problem of solving maximum utility function to obtain the fast scheduling strategy of covert channel resource in complex network. The simulation results show that the proposed method improves the utilization and efficiency of network covert channel resource.
出处
《计算机仿真》
CSCD
北大核心
2016年第8期272-275,共4页
Computer Simulation
基金
河南省科技厅软科学研究(132400410394)
关键词
复杂网络
隐蔽信道
资源调度
Complex network
Covert channel
Resource scheduling