An Edge Computing Service Model Based on InformationCentric Networking In edge computing scenarios, the computing service provider needs to be selected according to the edge server and network status. In the TCPIP architecture, edge computing applications rely on centralized proxy servers to select an appropriate edge server, which leads to additional network overhead and increases system response latency. Compared with TCPIP, InformationCentric Networking(ICN) has more potential to provide efficient network support for edge computing, so we consider leveraging ICN facilitate edge computing. However, traditional ICN cannot be used directly in edge computing because the computing results are dynamically generated in edge computing. Therefore, we propose an edge computing service model based on ICN, which contains a new naming scheme, service session models and service request forwarding strategies. Our edge computing service model can forward computing requests to an appropriate edge server in a distributed way, which can provide realtime, dynamic and efficient edge computing services.

Edgeoriented Collaborative Caching in InformationCentric Networking Innetwork caching is a key feature of informationcentric networking (ICN), in which routers take charge of caching passing contents. Such cache design enables efficient content distribution, but the benefit comes at a nontrivial cost, given adding workload to routers. With the emergence of edge computing, more edge devices with large storages are available, which is a good opportunity for new caching design. To this end, we propose a novel Edgeoriented Collaborative Caching (ECC) in ICN. In ECC, edge devices (such as edge server, micro datacenter, etc.) cache contents while routers only maintain cache indexes which are used to redirect subsequent requests towards the cached content. This enables ECC to work in a lightweight and collaborative fashion. We propose an optimization method to properly create cache indexes, considering both content popularity and cache benefit. Moreover, we also present a failure recovery mechanism to ensure system robustness. Simulation results show when deploying the same total cache capacity, ECC outperforms typical ICN caching schemes in terms of response latency, server load and bandwidth consumption of links.