We developed a network architecture called information-centric elastic optical transport network (i-CEON) that enables efficient content delivery. Increasing the volume of video traffic consumes network resources, so it is necessary to establish optical transport network architectures suitable for content delivery. For this purpose, we extend existing information-centric networking to be applicable to elastic optical networks. The main focus of this paper is presenting the method in i-CEON of optimizing optical-path routing by effectively using an in-network cache function to efficiently accommodate content traffic. This reduces redundant use of network resources. We formulate the joint optimization problem of elastic optical-path routing and content-replication placement as a mixed integer linear programming problem and also develop a heuristic algorithm. We conducted intensive numerical experiments to demonstrate the effectiveness of our method and confirmed that it reduced network cost by 21% and server load by 32%.

我们开发了一种称为信息中心的弹性光传输网络（i-CEON）的网络体系结构，该体系结构可实现高效的内容交付。视频业务量的增加消耗了网络资源，因此有必要建立适合于内容交付的光传输网络架构。为此，我们扩展了现有的以信息为中心的网络，以适用于弹性光网络。本文的主要重点是提出i-CEON中通过有效利用网络内缓存功能来有效容纳内容流量来优化光路路由的方法。这减少了网络资源的冗余使用。我们将弹性光路路由和内容复制放置的联合优化问题表述为混合整数线性规划问题，并开发了一种启发式算法。我们进行了深入的数值实验，以证明我们方法的有效性，并确认该方法将网络成本降低了21％，服务器负载降低了32％。