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IOTSim: A simulator for analysing IoT applications

journal contribution
posted on 2024-11-02, 05:29 authored by Xuezhi Zeng, Saurabh Garg, Peter Strazdins, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, Rajiv Ranjan
A disruptive technology that is influencing not only computing paradigm but every other business is the rise of big data. Internet of Things (IoT) applications are considered to be a major source of big data. Such IoT applications are in general supported through clouds where data is stored and processed by big data processing systems. In order to improve the efficiency of cloud infrastructure so that they can efficiently support IoT big data applications, it is important to understand how these applications and the corresponding big data processing systems will perform in cloud computing environments. However, given the scalability and complex requirements of big data processing systems, an empirical evaluation on actual cloud infrastructure can hinder the development of timely and cost effective IoT solutions. Therefore, a simulator supporting IoT applications in cloud environment is highly demanded, but such work is still in its infancy. To fill this gap, we have designed and implemented IOTSim which supports and enables simulation of IoT big data processing using MapReduce model in cloud computing environment. A real case study validates the efficacy of the simulator.

History

Journal

Journal of Systems Architecture

Volume

72

Start page

93

End page

107

Total pages

15

Publisher

Elsevier

Place published

Netherlands

Language

English

Copyright

© 2016 Elsevier B.V.

Former Identifier

2006077089

Esploro creation date

2020-06-22

Fedora creation date

2018-01-24

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