Ubiquitous Shift with Information Centric Network Caching Using Fog Computing

Abdullahi, Ibrahim; Arif, A. Suki M.; Hassan, Suhaidi

doi:10.1007/978-3-319-13153-5_32

Cited by 33 publications

(17 citation statements)

References 18 publications

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“…How legitimate can the information be? A recent study by Abdullahi et al (2015) proposed the deployment of the off-path caching using additional registration as suggested in Xylomenos et al (2013) through fog computing in the ubiquitous ICN scenario.…”

Section: Off-path Cachingmentioning

confidence: 99%

Survey on caching approaches in Information Centric Networking

Abdullahi

Arif

Hassan

2015

Journal of Network and Computer Applications

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Section: Off-path Cachingmentioning

confidence: 99%

Survey on caching approaches in Information Centric Networking

Abdullahi

Arif

Hassan

2015

Journal of Network and Computer Applications

Self Cite

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“…Due to Fog systems, the prediction latency was decreased from 5 to 1.5 s, web-page display latency from 8 to 3 s and internet traffic throughput from 75 to 10 Kbps. Another related use of Fog computing is discussed in [39], wherein the Internet of Everything (IoE), IP addresses can be replaced with names, using Information Centric Networking (ICN) framework by enhanced cache mechanisms. Fog nodes are able to manage cache (e.g.…”

Section: Web Optimizationmentioning

confidence: 99%

Fog computing security: a review of current applications and security solutions

2017

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Fog computing is a new paradigm that extends the Cloud platform model by providing computing resources on the edges of a network. It can be described as a cloud-like platform having similar data, computation, storage and application services, but is fundamentally different in that it is decentralized. In addition, Fog systems are capable of processing large amounts of data locally, operate on-premise, are fully portable, and can be installed on heterogeneous hardware. These features make the Fog platform highly suitable for time and location-sensitive applications. For example, Internet of Things (IoT) devices are required to quickly process a large amount of data. This wide range of functionality driven applications intensifies many security issues regarding data, virtualization, segregation, network, malware and monitoring. This paper surveys existing literature on Fog computing applications to identify common security gaps. Similar technologies like Edge computing, Cloudlets and Micro-data centres have also been included to provide a holistic review process. The majority of Fog applications are motivated by the desire for functionality and end-user requirements, while the security aspects are often ignored or considered as an afterthought. This paper also determines the impact of those security issues and possible solutions, providing future security-relevant directions to those responsible for designing, developing, and maintaining Fog systems.

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“…A work that has been proposed aims to implement Home Management Controller where the energy meters will keep the check of the devices . Devices such as smart/energy meters and micro‐grids automatically shift to an efficient energy resource based on the availability and lowest price …”

Section: Literature Surveymentioning

confidence: 99%

An overview of cloud‐fog computing: Architectures, applications with security challenges

Kunal

Saha

Amin

2019

Security and Privacy

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With the growing needs of data across the world, it almost hard to live without data a day. This is almost a blessing in disguise for the researchers working on different domains and dealing with huge amounts of data. The fog computing concept is aiming to change the scenarios created by cloud computing environments and also to make the data-centric clouds decentralized and localized. Fog devices contain only specific information that is frequently used in it and generally the size of the data in fog device is very less in comparison with cloud server. Fog stores only those data, which are frequently used by the users, rest it takes from the cloud itself. The motivation toward this field to make the data flow in various domain seamless and hassle free. Fog computing can be thought as an intermediate between the users and the cloud server, which connects end users easily and thus reduces the latency of the services. This paper discusses the three layered data flow architecture for fog computing and it proposes several novel architectures such as energy lattices, MediFog, UXFog, connected parking system, and FoAgro to utilize the concept of fog computing. K E Y W O R D Scloud computing, fog computing, security challenges

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Ubiquitous Shift with Information Centric Network Caching Using Fog Computing

Cited by 33 publications

References 18 publications

Survey on caching approaches in Information Centric Networking

Survey on caching approaches in Information Centric Networking

Fog computing security: a review of current applications and security solutions

An overview of cloud‐fog computing: Architectures, applications with security challenges

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