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Ubiquitous Shift with Information Centric Network Caching Using Fog Computing

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 331))

Abstract

With the immense growth of information gathering, sharing and processing in the world through sophisticated smart gadgets, it is therefore paramount that the Cloud would be better managed through other paradigms such as Fog computing and Information Centric Network (ICN). These would drive the need for the shift to the Internet of Everything (IoE). Jacobson et al., Cisco and Gantz et al., in different studies forecasted the engrossment of IP addresses and as such these along other vital reports have necessitated the need of replacing IP addresses with names through the Content Centric Networking. Ciscos’ report submitted the forecast of smart gadgets out numbering the world population soon. This paper therefore presents a conceptual framework of introducing Information Centric Networking (ICN) as API to Ubiquitous computing. Taking ICN cache at the edge nodes through Fog computing technique (as off-network cache) by referring object with names in lieu of IP addresses. This practice will make access to information residing on the Cloud in the Internet of Everything closer to the user. Fog in this paper is used as edge processing node in the content store to depict the caching that makes the ICN achievable off-path. Fog concept proposed the computing, processing and storage at the edges (devices) with the added advantage of heterogeneity for Internet of Things (IoT).

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Correspondence to Ibrahim Abdullahi .

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Abdullahi, I., Arif, S., Hassan, S. (2015). Ubiquitous Shift with Information Centric Network Caching Using Fog Computing. In: Phon-Amnuaisuk, S., Au, T. (eds) Computational Intelligence in Information Systems. Advances in Intelligent Systems and Computing, vol 331. Springer, Cham. https://doi.org/10.1007/978-3-319-13153-5_32

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  • DOI: https://doi.org/10.1007/978-3-319-13153-5_32

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13152-8

  • Online ISBN: 978-3-319-13153-5

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