Edge-ICN and its application to the Internet of Things
Title | Edge-ICN and its application to the Internet of Things |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Fotiou, N., Siris, V. A., Xylomenos, G., Polyzos, G. C., Katsaros, K. V., Petropoulos, G. |
Conference Name | 2017 IFIP Networking Conference (IFIP Networking) and Workshops |
Date Published | June 2017 |
Publisher | IEEE |
ISBN Number | 978-3-901882-94-4 |
Keywords | clean slate, Collaboration, Computer architecture, control systems, encoding, Human Behavior, human factor, human factors, IP networks, Metrics, Payloads, policy governance, Policy-Governed Secure Collaboration, Protocols, pubcrawl, resilience, Resiliency, Semantics |
Abstract | While research on Information-Centric Networking (ICN) flourishes, its adoption seems to be an elusive goal. In this paper we propose Edge-ICN: a novel approach for deploying ICN in a single large network, such as the network of an Internet Service Provider. Although Edge-ICN requires nothing beyond an SDN-based network supporting the OpenFlow protocol, with ICN-aware nodes only at the edges of the network, it still offers the same benefits as a clean-slate ICN architecture but without the deployment hassles. Moreover, by proxying legacy traffic and transparently forwarding it through the Edge-ICN nodes, all existing applications can operate smoothly, while offering significant advantages to applications such as native support for scalable anycast, multicast, and multi-source forwarding. In this context, we show how the proposed functionality at the edge of the network can specifically benefit CoAP-based IoT applications. Our measurements show that Edge-ICN induces on average the same control plane overhead for name resolution as a centralized approach, while also enabling IoT applications to build on anycast, multicast, and multi-source forwarding primitives. |
URL | http://ieeexplore.ieee.org/document/8264880/ |
DOI | 10.23919/IFIPNetworking.2017.8264880 |
Citation Key | fotiou_edge-icn_2017 |