Access links that connect cloud data centers or enterprise networks to public networks are important parts of the network infrastructure and make up considerable portions of overall network expenditures. When a customer network is connected to an overlaid elastic optical network, determining the capacity of the access link is difficult. Furthermore, access links carry mixed packet streams and circuit connections, each with different performance requirements. Additionally, traffic loads are time-varying and often exhibit diurnal patterns. In this study, we formulate the access link capacity dimensioning problem as an optimization problem with a nested dynamic constraint satisfaction subproblem. Instead of using hard performance measures, such as packet delays and blocking probabilities, we use the probability of fulfillment with regard to different traffic arrival rates as the performance measure and the performance–cost ratio as our optimization objective. Numerical results suggest that a 7.5% to 19.47% cost savings can be achieved if resources are shared between packet streams and circuit connections. And if resource preemptions are allowed, the delay performance for packet streams can be improved by 12% with more frequent preemptions. Our study provides useful insights into the planning and operation of access links.

中文翻译：

---

为具有混合数据包流和电路连接的时变流量确定接入链路容量

将云数据中心或企业网络连接到公共网络的接入链路是网络基础设施的重要组成部分，占整个网络支出的相当大一部分。当客户网络连接到重叠的弹性光网络时，很难确定接入链路的容量。此外，接入链路承载混合的数据包流和电路连接，每个都有不同的性能要求。此外，交通负荷是随时间变化的，并且通常表现出昼夜模式。在本研究中，我们将接入链路容量维度问题表述为具有嵌套动态约束满足子问题的优化问题。而不是使用硬性能测量，例如数据包延迟和阻塞概率，我们使用关于不同流量到达率的实现概率作为性能度量，并将性能成本比作为我们的优化目标。数值结果表明，如果在数据包流和电路连接之间共享资源，则可以实现 7.5% 到 19.47% 的成本节省。如果允许资源抢占，通过更频繁的抢占，数据包流的延迟性能可以提高 12%。我们的研究为访问链接的规划和操作提供了有用的见解。通过更频繁的抢占，数据包流的延迟性能可以提高 12%。我们的研究为访问链接的规划和操作提供了有用的见解。通过更频繁的抢占，数据包流的延迟性能可以提高 12%。我们的研究为访问链接的规划和操作提供了有用的见解。