Fog Computing Framework for Internet of Things Applications

Al-Khafajiy, Mohammed, Baker, Thar, Al-Libawy, Hilal , Waraich, Atif, Chalmers, Carl and Alfandi, Omar (2019) Fog Computing Framework for Internet of Things Applications. In: International Conference on Developments in eSystems Engineering (DESE), 2-5 Sept. 2018, Cambridge, UK.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


Within the Internet of Things (IoT) era, a big volume of data is generated/gathered every second from billions of connected devices. The current network paradigm, which relies on centralised data centres (a.k.a. Cloud computing), becomes impractical solution for IoT data storing and processing due to the long distance between the data source (e.g., sensors) and designated data centres. In other words, by the time the data reaches a far data centre, the importance of the data would be vanished. Therefore, the network topologies have been evolved to permit data processing and storage at the edge of the network, introducing what so-called "Fog computing". The later will obviously lead to improvements in quality of service (QoS) via processing and responding quickly and efficiently to varieties of data processing requests. Therefore, understanding Fog computing architecture and its role in improving QoS is a paramount research topic. In this research, we are proposing a Fog computing architecture and framework to improve QoS for IoT applications. Proposed system supports cooperation among Fog nodes in a given location, in order to permit data processing in a shared mode, hence satisfies QoS and serves largest number of service requests. The proposed framework could have the potential in achieving sustainable network paradigm and highlights significant benefits of Fog computing into the computing ecosystem.

Keywords:Internet of Things (IoT), Fog Computing, Resource management, Quality of Service
Subjects:G Mathematical and Computer Sciences > G411 Computer Architectures
G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G420 Networks and Communications
Divisions:College of Science > School of Computer Science
ID Code:47568
Deposited On:04 Feb 2022 12:39

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