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Abstract

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 Type:	Article
Authors/Creators:	Zeng, X and Garg, SK and Strazdins, P and Jayaraman, PP and Georgakopoulos, D and Ranjan, R
Keywords:	cloud computing, Internet of Things (IoT), simulation and modelling
Journal or Publication Title:	Journal of Systems Architecture
Publisher:	Elsevier Science Bv
ISSN:	1383-7621
DOI / ID Number:	https://doi.org/10.1016/j.sysarc.2016.06.008
Copyright Information:	Copyright 2016 Elsevier B.V.
Related URLs:	Google Scholar: Garg, SK UTAS Profile: Garg, SK
Item Statistics:	View statistics for this item

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