Content placement in 5G‐enabled edge/core data center networks resilient to link cut attacks
Content placement in 5G‐enabled edge/core data center networks resilient to link cut attacks
复制标题
支持 5G 的边缘/核心数据中心网络中的内容放置可抵御链路切断攻击
作者：
Carlos Natalino;A. Sousa;L. Wosinska;M. Furdek
高吞吐量、弹性和低延迟需求推动了支持5G的内容交付网络（CDN）的发展，CDN将联合收割机核心数据中心（cDC）与边缘数据中心（eDC）相结合，将最受欢迎的内容缓存在更靠近最终用户的位置，以减少流量负载和延迟。CDN部署在现有的光网络基础设施上，容易受到旨在破坏覆盖服务的链路切断攻击。规划CDN以平衡严格的服务要求并以经济高效的方式提高对攻击的弹性，需要解决cDC和eDC之间的内容放置问题（CPP）。本文提出了一个框架，用于在定义的预算下找到具有最小用户到内容距离和最大鲁棒性的帕累托最优解决方案。我们将两个优化问题表示为整数线性规划模型。第一种表示为具有最小距离的K-最佳CPP（K-CPP-minD），识别具有最小用户到内容距离的eDC/cDC放置解决方案。第二个执行关键链路集检测，以评估K-CPP-minD解决方案对目标光纤切割的弹性。广泛的模拟验证了我们的模型获得的eDC/cDC选择可以提高网络对链路切断攻击的弹性，而不会对用户到内容的距离或核心网络流量缓解效益产生不利影响。
High throughput, resilience, and low latency requirements drive the development of 5G‐enabled content delivery networks (CDNs) which combine core data centers (cDCs) with edge data centers (eDCs) that cache the most popular content closer to the end users for traffic load and latency reduction. Deployed over the existing optical network infrastructure, CDNs are vulnerable to link cut attacks aimed at disrupting the overlay services. Planning a CDN to balance the stringent service requirements and increase resilience to attacks in a cost‐efficient way entails solving the content placement problem (CPP) across the cDCs and eDCs. This article proposes a framework for finding Pareto‐optimal solutions with minimal user‐to‐content distance and maximal robustness to targeted link cuts, under a defined budget. We formulate two optimization problems as integer linear programming (ILP) models. The first, denoted as K‐best CPP with minimal distance (K‐CPP‐minD), identifies the eDC/cDC placement solutions with minimal user‐to‐content distance. The second performs critical link set detection to evaluate the resilience of the K‐CPP‐minD solutions to targeted fiber cuts. Extensive simulations verify that the eDC/cDC selection obtained by our models improves network resilience to link cut attacks without adversely affecting the user‐to‐content distances or the core network traffic mitigation benefits.