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Smart Collaborative Caching for Information-Centric IoT in Fog Computing
The significant changes enabled by the fog computing had demonstrated that Internet of Things (IoT) urgently needs more evolutional reforms. Limited by the inflexible design philosophy; the traditional structure of a network is hard to meet the latest demands. However, Information-Centric Networking...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712883/ https://www.ncbi.nlm.nih.gov/pubmed/29104219 http://dx.doi.org/10.3390/s17112512 |
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author | Song, Fei Ai, Zheng-Yang Li, Jun-Jie Pau, Giovanni Collotta, Mario You, Ilsun Zhang, Hong-Ke |
author_facet | Song, Fei Ai, Zheng-Yang Li, Jun-Jie Pau, Giovanni Collotta, Mario You, Ilsun Zhang, Hong-Ke |
author_sort | Song, Fei |
collection | PubMed |
description | The significant changes enabled by the fog computing had demonstrated that Internet of Things (IoT) urgently needs more evolutional reforms. Limited by the inflexible design philosophy; the traditional structure of a network is hard to meet the latest demands. However, Information-Centric Networking (ICN) is a promising option to bridge and cover these enormous gaps. In this paper, a Smart Collaborative Caching (SCC) scheme is established by leveraging high-level ICN principles for IoT within fog computing paradigm. The proposed solution is supposed to be utilized in resource pooling, content storing, node locating and other related situations. By investigating the available characteristics of ICN, some challenges of such combination are reviewed in depth. The details of building SCC, including basic model and advanced algorithms, are presented based on theoretical analysis and simplified examples. The validation focuses on two typical scenarios: simple status inquiry and complex content sharing. The number of clusters, packet loss probability and other parameters are also considered. The analytical results demonstrate that the performance of our scheme, regarding total packet number and average transmission latency, can outperform that of the original ones. We expect that the SCC will contribute an efficient solution to the related studies. |
format | Online Article Text |
id | pubmed-5712883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57128832017-12-07 Smart Collaborative Caching for Information-Centric IoT in Fog Computing Song, Fei Ai, Zheng-Yang Li, Jun-Jie Pau, Giovanni Collotta, Mario You, Ilsun Zhang, Hong-Ke Sensors (Basel) Article The significant changes enabled by the fog computing had demonstrated that Internet of Things (IoT) urgently needs more evolutional reforms. Limited by the inflexible design philosophy; the traditional structure of a network is hard to meet the latest demands. However, Information-Centric Networking (ICN) is a promising option to bridge and cover these enormous gaps. In this paper, a Smart Collaborative Caching (SCC) scheme is established by leveraging high-level ICN principles for IoT within fog computing paradigm. The proposed solution is supposed to be utilized in resource pooling, content storing, node locating and other related situations. By investigating the available characteristics of ICN, some challenges of such combination are reviewed in depth. The details of building SCC, including basic model and advanced algorithms, are presented based on theoretical analysis and simplified examples. The validation focuses on two typical scenarios: simple status inquiry and complex content sharing. The number of clusters, packet loss probability and other parameters are also considered. The analytical results demonstrate that the performance of our scheme, regarding total packet number and average transmission latency, can outperform that of the original ones. We expect that the SCC will contribute an efficient solution to the related studies. MDPI 2017-11-01 /pmc/articles/PMC5712883/ /pubmed/29104219 http://dx.doi.org/10.3390/s17112512 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Song, Fei Ai, Zheng-Yang Li, Jun-Jie Pau, Giovanni Collotta, Mario You, Ilsun Zhang, Hong-Ke Smart Collaborative Caching for Information-Centric IoT in Fog Computing |
title | Smart Collaborative Caching for Information-Centric IoT in Fog Computing |
title_full | Smart Collaborative Caching for Information-Centric IoT in Fog Computing |
title_fullStr | Smart Collaborative Caching for Information-Centric IoT in Fog Computing |
title_full_unstemmed | Smart Collaborative Caching for Information-Centric IoT in Fog Computing |
title_short | Smart Collaborative Caching for Information-Centric IoT in Fog Computing |
title_sort | smart collaborative caching for information-centric iot in fog computing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712883/ https://www.ncbi.nlm.nih.gov/pubmed/29104219 http://dx.doi.org/10.3390/s17112512 |
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