Abstract: Aiming at the domain of video service network in tri-network convergence,this paper focuses on the problem of optimal resource allocation of Real-time Service Provide Equipment(RSPE) nodes in shared resource pools. This paper proposes a fully distributed optimal control solution,named RSPE-DOC. RSPE-DOC treats underlying physical servers as a shared resource pool,and RSPE nodes as resource consumers. RSPE-DOC implements the information exchanging strategy and distributed optimization method among RSPE nodes,leading to a distributed optimal control framework.Experimental results indicate that RSPE-DOC is able to ensure the convergence of dissemination process and find the optimal resource allocation,when the RSPE nodes are not changed substantially in resource management process.

Key words: tri-network convergence, video service network, shared resource pools, resource assignment, distributed optimal control, constrained gradient ascent

摘要： 针对三网融合背景下的视频服务网,研究实时服务提供设备(RSPE)的节点共享资源池的资源配置,提出一种完全分布式的最优控制解决方案。分别将物理计算资源和RSPE 节点视为计算资源的共享池和资源消费者,给出RSPE 节点之间的信息传播策略和分布式优化算法,从而实现资源池的分布式最优控制。仿真结果表明,在RSPE 节点变化较小的情况下,该方案可保证节点间信息传播过程的收敛性和共享资源的最优资源配置。

关键词: 三网融合, 视频服务网, 共享资源池, 资源分配, 分布式最优控制, 受限梯度上升

CLC Number: 

• TP393