The softwarization and virtualization based Network Slicing (NS) technology provides the momentum for integrating the Information-Centric Networking (ICN) systems into the 5G infrastructure, such that ICN can be virtualized as a NS to co-exist with other IP-based vertical services slices. The implementation of the ICN network slice (ICN-NS) is essentially a 5G end-to-end (E2E) NSs embedding problem, which is normally solved by embedding the given virtual network (VN) of the slice instance. However, determining the details of the VN is non-trivial and largely ignored in the literature. In this work, we formulate the ICN network slices determination and embedding (ICN-NS-DE) problem through an Integer Linear Program (ILP) formulation, such that the ICN-NS determination and embedding problems are jointly solved for a hierarchical ICN system without requiring a-priori knowledge on the VN’s topology and resource provisioning information. Due to the complexity of the model, we design an heuristic algorithm for solving the problem in practical large scale network. Finally, we demonstrate the performance of the ICN-NS-DE model and the algorithm through intensive simulations.

中文翻译：

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确定和嵌入5G端到端信息中心网络切片的配置优化

基于软化和虚拟化的网络切片（NS）技术为将信息中心网络（ICN）系统集成到5G基础架构中提供了动力，从而使ICN可以虚拟化为NS与其他基于IP的垂直服务共存片。ICN网络切片（ICN-NS）的实现本质上是5G端到端（E2E）NS嵌入问题，通常可以通过嵌入切片实例的给定虚拟网络（VN）来解决。但是，确定VN的细节并非易事，并且在文献中被很大程度上忽略了。在这项工作中，我们通过整数线性规划（ILP）公式来制定ICN网络切片确定和嵌入（ICN-NS-DE）问题，这样一来，就可以为层次化ICN系统共同解决ICN-NS确定和嵌入问题，而无需了解VN的拓扑和资源供应信息的先验知识。由于模型的复杂性，我们设计了一种启发式算法来解决实际大规模网络中的问题。最后，我们通过深入的仿真演示了ICN-NS-DE模型和算法的性能。