一种公平性的智能电视系统资源分配算法

Fair resource allocation algorithm for the smart TV system

针对智能电视系统资源分配问题,提出一种基于非线性弹性任务模型的资源分配算法.首先,定义任务间服务质量水平的公平性,并描述基于公平性的智能电视系统资源分配问题;然后,引入非线性弹性任务模型,提出利用简单迭代法求解资源分配,并且推导出简单迭代法收敛的充分条件;进一步把非线性弹性任务模型应用到公平共享自适应控制器.仿真实验结果表明,基于非线性弹性任务模型的资源分配算法能够获得近似公平的资源分配,并且与现有算法相比,收敛速度更快.

In order to address the resource allocation problem of the smart TV system, a resource allocation algorithm based on the nonlinear elastic task model is proposed. First, we define fairness of QoS levels and describe the fair resource allocation problem of the smart TV system. Then, based on the nonlinear elastic task model, a fixed-point iteration method is used to solve the resource allocation problem and a sufficient condition for the convergence of the method is derived. Finally, nonlinear elastic task model is applied to the adaptive fair sharing controller. Simulation results show that the proposed algorithm can obtain fair resource allocation with a faster convergence speed than existing algorithms.