Title

Fog computing framework for internet of things applications

Document Type

Conference Proceeding

Source of Publication

Proceedings - International Conference on Developments in eSystems Engineering, DeSE

Publication Date

2-21-2019

Abstract

© 2018 IEEE. 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.

ISBN

9781538667125

ISSN

2161-1343

Publisher

Institute of Electrical and Electronics Engineers Inc.

Volume

2018-September

First Page

71

Last Page

77

Disciplines

Computer Sciences

Keywords

Computer architecture; Data handling; Digital storage; Fog; Internet of things; Network architecture; Quality of service; Computing architecture; Computing ecosystems; Computing frameworks; Internet of thing (IOT); IOT applications; Network topology; Number of services; System supports; Fog computing

Scopus ID

85063156794

Indexed in Scopus

yes

Open Access

no

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