A_Fog_Caching_Scheme_Enabled_by_ICN_for_IoT_Environments.pdf (644.34 kB)
A fog caching scheme enabled by ICN for IoT environments
journal contribution
posted on 2020-04-27, 10:48 authored by Yining Hua, Lin GuanLin Guan, Kostas KyriakopoulosKostas KyriakopoulosThe rapid growth in computation and processing power of end-user devices has transitioned network functionalities from the core network to the Fog, thus, reducing response times and ultimately improving user experience. The Information-Centric Networking paradigm aims to transform conventional content caching and delivery approaches by enabling Fog nodes to participate in both forwarding and caching. In this work, a Fog caching design scheme is presented for applications such as Internet-of-Things, which integrates three novel design attributes. Firstly, a Fog cluster-based scheme is proposed that utilises both in-network and end-user devices to cache content closer to the edge network, according to the increasing popularity of the content. Secondly, this work proposes a near-path approach that leverages caching nodes near the content delivery path. Finally, by craftily integrating reactive and proactive caching, congestion during network peak-time is averted. Simulations are conducted in the Icarus environment and evaluated against eight popular benchmark techniques. The results indicate significant improvement in internal link load and path stretch metrics. Finally, the cache hit ratio metric is consistently better than all other benchmarks, while the latency performance of the proposed scheme is competitive when the content distribution is more concentrated.
History
School
- Science
- Mechanical, Electrical and Manufacturing Engineering
Department
- Computer Science
Published in
Future Generation Computer SystemsVolume
111Issue
October 2020Pages
82 - 95Publisher
ElsevierVersion
- AM (Accepted Manuscript)
Rights holder
© Elsevier B.V.Publisher statement
This paper was accepted for publication in the journal Future Generation Computer Systems and the definitive published version is available at https://doi.org/10.1016/j.future.2020.04.040.Acceptance date
2020-04-24Publication date
2020-04-27Copyright date
2020ISSN
0167-739XPublisher version
Language
- en