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research-article

IOTSim

Authors:

Saurabh Kumar Garg,

Peter Strazdins,

Prem Prakash Jayaraman,

Dimitrios Georgakopoulos,

Rajiv RanjanAuthors Info & Claims

Journal of Systems Architecture: the EUROMICRO Journal, Volume 72, Issue C

Pages 93 - 107

https://doi.org/10.1016/j.sysarc.2016.06.008

Published: 01 January 2017 Publication History

Abstract

IOTSim largely extended Cloudsim's functionality to support for modelling and simulation of multiple IoT applications running simultaneously in a shared cloud data centres.IOTSim is capable of simulating batch-oriented IoT applications by using MapReduce model with a high degree of accuracy.IOTSim provides better perspective to analyse IoT-based applications using MapReduce model in Cloud Computing environment with less cost and time. 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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Cited By

Li JMoeini BNejati SSabetzadeh MMcCallen M(2024)A Lean Simulation Framework for Stress Testing IoT Cloud SystemsIEEE Transactions on Software Engineering10.1109/TSE.2024.340215750:7(1827-1851)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1109/TSE.2024.3402157
P. AVimala HJ. S(2024)Comprehensive review on congestion detection, alleviation, and control for IoT networksJournal of Network and Computer Applications10.1016/j.jnca.2023.103749221:COnline publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1016/j.jnca.2023.103749
Narimani Zaman Abadi MJalaly Bidgoly AFarjami Y(2024)ASSOCIATEComputer Communications10.1016/j.comcom.2024.01.023217:C(107-125)Online publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1016/j.comcom.2024.01.023
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Published In

cover image Journal of Systems Architecture: the EUROMICRO Journal

Journal of Systems Architecture: the EUROMICRO Journal Volume 72, Issue C

January 2017

120 pages

ISSN:1383-7621

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Copyright © Elsevier B.V.

Publisher

Elsevier North-Holland, Inc.

United States

Publication History

Published: 01 January 2017

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Cited By

Li JMoeini BNejati SSabetzadeh MMcCallen M(2024)A Lean Simulation Framework for Stress Testing IoT Cloud SystemsIEEE Transactions on Software Engineering10.1109/TSE.2024.340215750:7(1827-1851)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1109/TSE.2024.3402157
P. AVimala HJ. S(2024)Comprehensive review on congestion detection, alleviation, and control for IoT networksJournal of Network and Computer Applications10.1016/j.jnca.2023.103749221:COnline publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1016/j.jnca.2023.103749
Narimani Zaman Abadi MJalaly Bidgoly AFarjami Y(2024)ASSOCIATEComputer Communications10.1016/j.comcom.2024.01.023217:C(107-125)Online publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1016/j.comcom.2024.01.023
Priyadarshi R(2024)Exploring machine learning solutions for overcoming challenges in IoT-based wireless sensor network routing: a comprehensive reviewWireless Networks10.1007/s11276-024-03697-230:4(2647-2673)Online publication date: 1-May-2024
https://dl.acm.org/doi/10.1007/s11276-024-03697-2
Rubino FBodei CFerrari G(2024)Riding the Data Storms: Specifying and Analysing IoT Security Requirements with SURFINGLeveraging Applications of Formal Methods, Verification and Validation. REoCAS Colloquium in Honor of Rocco De Nicola10.1007/978-3-031-73709-1_24(392-408)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1007/978-3-031-73709-1_24
Albshri AAlzubaidi AAlharby MAwaji BMitra KSolaiman E(2023)A conceptual architecture for simulating blockchain-based IoT ecosystemsJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-023-00481-z12:1Online publication date: 14-Jul-2023
https://dl.acm.org/doi/10.1186/s13677-023-00481-z
Habaebi MMerrad YIslam MElsheikh ESliman FMesri M(2023)Extending CloudSim to simulate sensor networksSimulation10.1177/0037549722110553099:1(3-22)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1177/00375497221105530
Gao YChen LHan JWu GLiu S(2023)Similarity-based deduplication and secure auditing in IoT decentralized storageJournal of Systems Architecture: the EUROMICRO Journal10.1016/j.sysarc.2023.102961142:COnline publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1016/j.sysarc.2023.102961
Ma RZhang L(2023)SPMACJournal of Systems Architecture: the EUROMICRO Journal10.1016/j.sysarc.2023.102951142:COnline publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1016/j.sysarc.2023.102951
S.D. MPrakash SKrinkin K(2023)CCNSimEngineering Applications of Artificial Intelligence10.1016/j.engappai.2022.105745119:COnline publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1016/j.engappai.2022.105745
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