论文标题
具有性能保证在线凸优化的PON切片的动态带宽分配
Dynamic Bandwidth Allocation for PON Slicing with Performance-Guaranteed Online Convex Optimization
论文作者
论文摘要
各种网络应用程序的出现需要对网络进行更灵活和响应的资源分配。网络切片是一项关键促进技术，可为每个网络服务提供一组量身定制的网络资源，以满足特定的服务要求。本文的重点是被动光网络（PON）实现的访问网络的网络切片。本文提出了一种基于学习的动态带宽分配（DBA）算法，用于PON访问网络，考虑切片意识，需求反应性和分配公平性。我们的在线凸优化算法随着时间的推移了解了隐式流量趋势，并确定了减少平均延迟的最强大的窗口分配。我们的仿真结果表明，所提出的算法通过优先考虑延迟敏感性和重载的对责任来减少平均延迟，同时保证向所有Onus分配最小的窗口分配。
The emergence of diverse network applications demands more flexible and responsive resource allocation for networks. Network slicing is a key enabling technology that provides each network service with a tailored set of network resources to satisfy specific service requirements. The focus of this paper is the network slicing of access networks realized by Passive Optical Networks (PONs). This paper proposes a learning-based Dynamic Bandwidth Allocation (DBA) algorithm for PON access networks, considering slice-awareness, demand-responsiveness, and allocation fairness. Our online convex optimization-based algorithm learns the implicit traffic trend over time and determines the most robust window allocation that reduces the average latency. Our simulation results indicate that the proposed algorithm reduces the average latency by prioritizing delay-sensitive and heavily-loaded ONUs while guaranteeing a minimal window allocation to all ONUs.
