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IOTSim: a simulator for analysing IoT applications


Zeng, X and Garg, SK and Strazdins, P and Jayaraman, PP and Georgakopoulos, D and Ranjan, R, IOTSim: a simulator for analysing IoT applications, Journal of Systems Architecture, 72 pp. 93-107. ISSN 1383-7621 (2017) [Refereed Article]

Copyright Statement

Copyright 2016 Elsevier B.V.

DOI: doi:10.1016/j.sysarc.2016.06.008


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.

Item Details

Item Type:Refereed Article
Keywords:cloud computing, Internet of Things (IoT), simulation and modelling, big data, mapreduce, programming model
Research Division:Information and Computing Sciences
Research Group:Distributed computing and systems software
Research Field:Distributed systems and algorithms
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Garg, SK (Dr Saurabh Garg)
ID Code:110877
Year Published:2017
Web of Science® Times Cited:79
Deposited By:Information and Communication Technology
Deposited On:2016-08-20
Last Modified:2022-08-29

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