Developing applications in large scale, dynamic fog computing:A case study

Giang, N.K. and Lea, R. and Leung, V.C.M. (2019) Developing applications in large scale, dynamic fog computing:A case study. Software - Practice and Experience. ISSN 0038-0644

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Abstract

In recent years, fog computing has emerged as a new distributed system model for a large class of applications that are data-intensive or delay-sensitive. By exploiting widely distributed computing infrastructure that is located closer to the network edge, communication cost and service response time can be significantly reduced. However, developing this class of applications is not straightforward and requires addressing three key challenges, ie, supporting the dynamic nature of the edge network, managing the context-dependent characteristics of application logic, and dealing with the large scale of the system. In this paper, we present a case study in building fog computing applications using our open source platform Distributed Node-RED (DNR). In particular, we show how applications can be decomposed and deployed to a geographically distributed infrastructure using DNR, and how existing software components can be adapted and reused to participate in fog applications. We present a lab-based implementation of a fog application built using DNR that addresses the first two of the issues highlighted earlier. To validate that our approach also deals with large scale, we augment our live trial with a large scale simulation of the application model, conducted in Omnet++, which shows the scalability of the model and how it supports the dynamic nature of fog applications. © 2019 John Wiley & Sons, Ltd.

Item Type: Journal Article
Journal or Publication Title: Software - Practice and Experience
Additional Information: This is the peer reviewed version of the following article: Giang, NK, Lea, R, Leung, VCM. Developing applications in large scale, dynamic fog computing: A case study. Softw: Pract Exper. 2019; 1– 14. https://doi.org/10.1002/spe.2695 which has been published in final form at https://onlinelibrary.wiley.com/doi/full/10.1002/spe.2695 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
Subjects:
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 133705
Deposited By: ep_importer_pure
Deposited On: 20 May 2019 08:55
Refereed?: Yes
Published?: Published
Last Modified: 22 Feb 2020 05:06
URI: https://eprints.lancs.ac.uk/id/eprint/133705

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