| Title | EFM: An Edge-Computing-Oriented Forwarding Mechanism for Information-Centric Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Shi, S., Li, J., Wu, H., Ren, Y., Zhi, J. |
| Conference Name | 2020 3rd International Conference on Hot Information-Centric Networking (HotICN) |
| Keywords | edge computing, edge networks, forwarding strategy, Image edge detection, Information Centric Networks, information-centric networking, Logic gates, Optimization, Packet loss, pubcrawl, Resiliency, Scalability, simulation |
| Abstract | Information-Centric Networking (ICN) has attracted much attention as a promising future network design, which presents a paradigm shift from host-centric to content-centric. However, in edge computing scenarios, there is still no specific ICN forwarding mechanism to improve transmission performance. In this paper, we propose an edge-oriented forwarding mechanism (EFM) for edge computing scenarios. The rationale is to enable edge nodes smarter, such as acting as agents for both consumers and providers to improve content retrieval and distribution. On the one hand, EFM can assist consumers: the edge router can be used either as a fast content repository to satisfy consumers' requests or as a smart delegate of consumers to request content from upstream nodes. On the other hand, EFM can assist providers: EFM leverages the optimized in-network recovery/retransmission to detect packet loss or even accelerate the content distribution. The goal of our research is to improve the performance of edge networks. Simulation results based on ndnSIM indicate that EFM can enable efficient content retrieval and distribution, friendly to both consumers and providers. |
| DOI | 10.1109/HotICN50779.2020.9350827 |
| Citation Key | shi_efm_2020 |
EFM: An Edge-Computing-Oriented Forwarding Mechanism for Information-Centric Networks