无源光网络中实时的突发应用的QoS实现
Achieving QoS for Real-Time Bursty Applications over Passive Optical Networks
摘要：
新兴的实时的【形】应用，如超可靠低延迟（uRLLC）下的分类产生突发流量，并有严格的服务质量（QoS）要求。无源光网络（PON）是一种流行的接入网络技术，其被设想为在网络的接入段处处理这样的应用。然而，现有的标准不能处理严格的QoS约束。可用的解决方案依赖于瞬时启发式决策，并保持平均意义上的QoS约束（主要是带宽）。现有的工程与最佳策略计算复杂，不适合uRLLC应用程序。本文提出了一种新型的计算高效、富有远见的带宽分配策略设计，用于促进无源光网络框架中的突发流量，同时满足现代应用严格的QoS（信息/延迟和带宽年龄）要求。为此，首先，我们设计了一个延迟跟踪机制，使我们能够从控制理论的角度作为一个模型预测控制（MPC）的资源分配问题建模。MPC有助于在资源分配方面做出有远见的决策，并捕捉网络的时变动态。我们提供计算效率的多项式时间的解决方案，并显示其实施的PON框架。与现有的方法相比，MPC减少延迟违规约15%的延迟约束的应用程序的1毫秒的目标。我们的方法也是强大的不同的交通到达。
英文摘要：
Emerging real-time applications such as those classified under ultra-reliable low latency (uRLLC) generate bursty traffic and have strict Quality of Service (QoS) requirements. Passive Optical Network (PON) is a popular access network technology, which is envisioned to handle such applications at the access segment of the network. However, the existing standards cannot handle strict QoS constraints. The available solutions rely on instantaneous heuristic decisions and maintain QoS constraints (mostly bandwidth) in an average sense. Existing works with optimal strategies are computationally complex and are not suitable for uRLLC applications. This paper presents a novel computationally-efficient, far-sighted bandwidth allocation policy design for facilitating bursty traffic in a PON framework while satisfying strict QoS (age of information/delay and bandwidth) requirements of modern applications. To this purpose, first we design a delay-tracking mechanism which allows us to model the resource allocation problem from a control-theoretic viewpoint as a Model Predictive Control (MPC). MPC helps in taking far-sighted decisions regarding resource allocations and captures the time-varying dynamics of the network. We provide computationally efficient polynomial-time solutions and show its implementation in the PON framework. Compared to existing approaches, MPC reduces delay violations by approximately 15% for a delay-constrained application of 1ms target. Our approach is also robust to varying traffic arrivals.
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