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Cited by 215

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IOTSim: A simulator for analysing IoT applications

Open access
Zeng, Xuezhi, Garg, Saurabh Kumar, Strazdins, Peter, Jayaraman, Prem Prakash, Georgakopoulos, Dimitrios, Ranjan, Rajiv·2017·Journal of Systems Architecture

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.

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Metadata

Authors
Zeng, X., Garg, S. K., Strazdins, P., Jayaraman, P. P., Georgakopoulos, D., & Ranjan, R.
Venue
Journal of Systems Architecture
Publisher
Elsevier BV
Published
2017-01
Volume
72
Pages
93-107
ISSN
1383-7621 (ISSN-L)
OpenAlex
W2462955848
Cited by
215
References
2
FWCI
44.59
Type
journal article
Language
en
Open access
green

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