针对P2P流媒体网络的数据调度问题,提出了一种新的调度算法,即将节点的数据请求作为随机事件,运用基于事件的方法,对P2P流媒体网络的数据调度问题,建立基于部分可观Markov决策过程(POMDP)的数学模型,并运用梯度算法仿真求解模型的最优策略.仿真结果表明了所提方法的有效性.
For data scheduling problems in P2P streaming networks,a new scheduling algorithm was proposed.The algorithm considers the node's data request as a random event and builds a mathematical model based on POMDP by using event-based method.By applying the policy gradient algorithm,the model was simulated to get the optimal policy.The simulation results show the effectiveness of the proposed method.