Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Song, Fei, Ai, Zheng-Yang, Li, Jun-Jie, Pau, Giovanni, Collotta, Mario, You, Ilsun, Zhang, Hong-Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
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
_version_ 1783283308143050752
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
work_keys_str_mv AT songfei smartcollaborativecachingforinformationcentriciotinfogcomputing
AT aizhengyang smartcollaborativecachingforinformationcentriciotinfogcomputing
AT lijunjie smartcollaborativecachingforinformationcentriciotinfogcomputing
AT paugiovanni smartcollaborativecachingforinformationcentriciotinfogcomputing
AT collottamario smartcollaborativecachingforinformationcentriciotinfogcomputing
AT youilsun smartcollaborativecachingforinformationcentriciotinfogcomputing
AT zhanghongke smartcollaborativecachingforinformationcentriciotinfogcomputing