research-article

Open access

IoTNetSim: A Modelling and Simulation Platform for End-to-End IoT Services and Networking

Authors:

Yehia Elkhatib,

Gordon BlairAuthors Info & Claims

UCC'19: Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing

Pages 251 - 261

https://doi.org/10.1145/3344341.3368820

Published: 02 December 2019 Publication History

Abstract

Internet-of-Things (IoT) systems are becoming increasingly complex, heterogeneous and pervasive, integrating a variety of physical devices and virtual services that are spread across architecture layers (cloud, fog, edge) using different connection types. As such, research and design of such systems have proven to be challenging. Despite the influx in IoT research and the significant benefits of simulation-based approaches in supporting research, there is a general lack of appropriate modelling and simulation platforms to create a detailed representation of end-to-end IoT services, i.e. from the underlying IoT nodes to the application layer in the cloud along with the underlying networking infrastructure. To aid researchers and practitioners in overcoming these challenges, we propose IoTNetSim, a novel self-contained extendable platform for modelling and simulation of end-to-end IoT services. The platform supports modelling heterogeneous IoT nodes (sensors, actuators, gateways, etc.) with their fine-grained details (mobility, energy profile, etc.), as well as different models of application logic and network connectivity. The proposed work is distinct from the current literature, being an all-in-one tool for end-to-end IoT services with a multi-layered architecture that allows modelling IoT systems with different structures. We experimentally validate and evaluate our IoTNetSim implementation using two very large-scale real-world cases from the natural environment and disaster monitoring IoT domains.

References

[1]

A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash. 2015. Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications. IEEE Communications Surveys & Tutorials, Vol. 17, 4 (2015), 2347--2376.

Digital Library

[2]

relax Amazon Web Services, Inc. [n.d.]. relax Amazon EC2 Instance Types . https://aws.amazon.com/ec2/instance-types/ Accessed: 2017--10-01.

[3]

M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, and M. Zaharia. 2010. A View of Cloud Computing. ACM Communications, Vol. 53, 4 (2010), 50--58.

Digital Library

[4]

I. Baumgart, B. Heep, and S. Krause. 2007. OverSim: A Flexible Overlay Network Simulation Framework. In IEEE Global Internet Symposium . 79--84.

[5]

R. Buyya, R. Ranjan, and R. N Calheiros. 2009. Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities. In Conference on High Performance Computing & Simulation (HPCS). IEEE, 1--11.

[6]

R. N. Calheiros, R. Ranjan, A. Beloglazov, C. De Rose, and R. Buyya. 2011. CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software: Practice and Experience, Vol. 41, 1 (2011), 23--50.

Digital Library

[7]

M. Chernyshev, Z. Baig, O. Bello, and S. Zeadally. 2018. Internet of Things (IoT): Research, Simulators, and Testbeds. IEEE Internet of Things Journal, Vol. 5, 3 (2018), 1637--1647.

[8]

Y. Elkhatib, B. F. Porter, H. B. Ribeiro, M. F. Zhani, J. Qadir, and E. Rivière. 2017. On Using Micro-Clouds to Deliver the Fog. Internet Computing, Vol. 21, 2 (2017), 8--15.

Digital Library

[9]

P. García, C. Pairot, R. Mondéjar, J. Pujol, H. Tejedor, and R. Rallo. 2005. PlanetSim: A New Overlay Network Simulation Framework. In Software Engineering and Middleware, T. Gschwind and C. Mascolo (Eds.). Springer Berlin Heidelberg, 123--136.

[10]

S. K. Garg and R. Buyya. 2011. NetworkCloudSim: Modelling Parallel Applications in Cloud Simulations. In IEEE Conference on Utility and Cloud Computing (UCC). 105--113.

[11]

H. Gupta, A. V. Dastjerdi, S. K. Ghosh, and R. Buyya. 2017. iFogSim: A Toolkit for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments. Software: Practice and Experience, Vol. 47, 9 (2017), 1275--1296.

[12]

J. A. Hernández-Nolasco, M. A. W. Ovando, F. D. Acosta, and P. Pancardo. 2016. Water Level Meter for Alerting Population about Floods. In IEEE Conference on Advanced Information Networking and Applications (AINA). 879--884.

[13]

D. Hollis and M. McCarthy. 2017. UKCP09: Met Office gridded and regional land surface climate observation datasets. http://catalogue.ceda.ac.uk/uuid/87f43af9d02e42f483351d79b3d6162a . Centre for Environmental Data Analysis.

[14]

P. Kathiravelu and L. Veiga. 2014. Concurrent and Distributed CloudSim Simulations. In IEEE Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS) . 490--493.

[15]

G. Kecskemeti, G. Casale, D. N. Jha, J. Lyon, and R. Ranjan. 2017. Modelling and Simulation Challenges in Internet of Things. IEEE Cloud Computing, Vol. 4, 1 (2017), 62--69.

[16]

D. Kliazovich, P. Bouvry, and S. U. Khan. 2012. GreenCloud: A packet-level simulator of energy-aware cloud computing data centers. The Journal of Supercomputing, Vol. 62, 3 (2012), 1263--1283.

[17]

S. H. Lim, B. Sharma, G. Nam, E. K. Kim, and C. R. Das. 2009. MDCSim: A multi-tier data center simulation, platform. In IEEE Conference on Cluster Computing and Workshops. 1--9.

[18]

S. Misra, M. Maheswaran, and S. Hashmi. 2017. System Model for the Internet of Things .Springer International Publishing, 5--17.

[19]

Vatsala Nundloll, Barry Porter, Gordon S. Blair, Bridget Emmett, Jack Cosby, Davey L. Jones, Dave Chadwick, Ben Winterbourn, Philip Beattie, Graham Dean, Rory Shaw, Wayne Shelley, Mike Brown, and Izhar Ullah. 2019. The Design and Deployment of an End-To-End IoT Infrastructure for the Natural Environment. Future Internet, Vol. 11, 6 (2019). https://doi.org/10.3390/fi11060129

[20]

A. Nunez, J. L. Vazquez-Poletti, A. C. Caminero, G. G. Castane, J. Carretero, and I. M. Llorente. 2012. iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator. Journal of Grid Computing, Vol. 10, 1 (2012), 185--209.

Digital Library

[21]

G. Z. Papadopoulos, J. Beaudaux, A. Gallais, T. Noël, and G. Schreiner. 2013. Adding value to WSN simulation using the IoT-LAB experimental platform. In IEEE Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) . 485--490.

[22]

G. Z. Papadopoulos, A. Gallais, G. Schreiner, E. Jou, and T. Noel. 2017. Thorough IoT testbed characterization: From proof-of-concept to repeatable experimentations. Computer Networks, Vol. 119 (2017), 86--101.

Digital Library

[23]

A. Quiroz, Kim Hyunjoo, M. Parashar, N. Gnanasambandam, and N. Sharma. 2009. Towards autonomic workload provisioning for enterprise Grids and clouds. In IEEE/ACM Conference on Grid Computing. 50--57.

[24]

G. F. Riley and T. R. Henderson. 2010. The ns-3 Network Simulator .Springer Berlin Heidelberg, Berlin, Heidelberg, 15--34.

[25]

G. Sakellari and G. Loukas. 2013. A survey of mathematical models, simulation approaches and testbeds used for research in cloud computing. Simulation Modelling Practice and Theory, Vol. 39, 0 (2013), 92--103.

[26]

A. Sobeih, J. C. Hou, K. Lu-Chuan, L. Ning, Z. Honghai, C. Wei-Peng, T. Hung-Ying, and L. Hyuk. 2006. J-Sim: A simulation and emulation environment for wireless sensor networks. IEEE Wireless Communications, Vol. 13, 4 (2006), 104--119.

Digital Library

[27]

S. Sotiriadis, N. Bessis, E. Asimakopoulou, and N. Mustafee. 2014. Towards Simulating the Internet of Things. In Conference on Advanced Information Networking and Applications Workshops. 444--448.

[28]

Y. Teranishi, Y. Saito, S. Murono, and N. Nishinaga. 2015. JOSE: An open testbed for field trials of large-scale IoT services. Journal of the National Institute of Information and Communications Technology, Vol. 62, 2 (2015).

[29]

A. Varga and R. Hornig. 2008. An overview of the OMNeT

[30]

simulation environment. In Conference on Simulation Tools and Techniques for Communications, Networks and Systems . ICST, 1--10.

[31]

O. Vermesan, P. Friess, P. Guillemin, S. Gusmeroli, H. Sundmaeker, A. Bassi, I. S. Jubert, M. Mazura, M. Harrison, and M. Eisenhauer. 2011. Internet of things strategic research roadmap. Internet of Things-Global Technological and Societal Trends, Vol. 1 (2011), 9--52.

[32]

X. Zeng, S. K. Garg, P. Strazdins, P. P. Jayaraman, D. Georgakopoulos, and R. Ranjan. 2017. IOTSim: A simulator for analysing IoT applications. Journal of Systems Architecture, Vol. 72 (2017), 93--107.

Digital Library

Cited By

Barakat GD’agati LTricomi GLongo FPuliafito AMerlino G(2024)Discrete Event Modeling and Simulation Approaches for IIoTWSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS10.37394/23207.2024.21.20221(2456-2463)Online publication date: 6-Dec-2024
https://doi.org/10.37394/23207.2024.21.202
Almutairi RBergami GMorgan G(2024)Advancements and Challenges in IoT Simulators: A Comprehensive ReviewSensors10.3390/s2405151124:5(1511)Online publication date: 26-Feb-2024
https://doi.org/10.3390/s24051511
Kaleel SAbhari A(2024)TAFE-AI: A Trust-Augmented Fog and Edge AI Enabled Network Integrated with Decentralized Identity2024 Annual Modeling and Simulation Conference (ANNSIM)10.23919/ANNSIM61499.2024.10732127(1-13)Online publication date: 20-May-2024
https://doi.org/10.23919/ANNSIM61499.2024.10732127
Show More Cited By

Index Terms

IoTNetSim: A Modelling and Simulation Platform for End-to-End IoT Services and Networking
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation support systems
      1. Simulation environments
    2. Simulation types and techniques
      1. Discrete-event simulation
2. Networks
  1. Network performance evaluation
  2. Network services
    1. Cloud computing
    2. Network management

Recommendations

A Pattern for Fog Computing
VikingPLoP '16: Proceedings of the 10th Travelling Conference on Pattern Languages of Programs

Fog Computing is a new variety of the cloud computing paradigm that brings virtualized cloud services to the edge of the network to control the devices in the IoT. We present a pattern for fog computing which describes its architecture, including its ...
Cloud, Fog, or Mist in IoT? That Is the Question
Special Issue on Fog, Edge, and Cloud Integration

Internet of Things (IoT) has been commercially explored as Platforms as a Services (PaaS). The standard solution for this kind of service is to combine the Cloud computing infrastructure with IoT software, services, and protocols also known as CoT (...
All one needs to know about fog computing and related edge computing paradigms: A complete survey
Abstract
With the Internet of Things (IoT) becoming part of our daily life and our environment, we expect rapid growth in the number of connected devices. IoT is expected to connect billions of devices and humans to bring promising advantages ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

UCC'19: Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing

December 2019

307 pages

ISBN:9781450368940

DOI:10.1145/3344341

General Chairs:
Kenneth Johnson
Auckland University of Technology, New Zealand
,
Josef Spillner
Zurich University of Applied Sciences, Switzerland
,
Program Chairs:
Dalibor Klusáček
CESNET
,
Ashiq Anjum
University of Derby

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGARCH: ACM Special Interest Group on Computer Architecture
IEEE TCSC: IEEE Technical Committee on Scalable Computing

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 December 2019

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Models in the Cloud: Generative Software Frameworks to Support the Execution of Environmental Models in the Cloud'
EPSRC Declarative and Interoperable Overlay Networks, Applications to Systems of Systems (DIONASYS)

Conference

UCC '19

Sponsor:

SIGARCH
IEEE TCSC

UCC '19: IEEE/ACM 12th International Conference on Utility and Cloud Computing

December 2 - 5, 2019

Auckland, New Zealand

Acceptance Rates

Overall Acceptance Rate 38 of 125 submissions, 30%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

29
Total Citations
View Citations
1,043
Total Downloads

Downloads (Last 12 months)280
Downloads (Last 6 weeks)35

Reflects downloads up to 16 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Barakat GD’agati LTricomi GLongo FPuliafito AMerlino G(2024)Discrete Event Modeling and Simulation Approaches for IIoTWSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS10.37394/23207.2024.21.20221(2456-2463)Online publication date: 6-Dec-2024
https://doi.org/10.37394/23207.2024.21.202
Almutairi RBergami GMorgan G(2024)Advancements and Challenges in IoT Simulators: A Comprehensive ReviewSensors10.3390/s2405151124:5(1511)Online publication date: 26-Feb-2024
https://doi.org/10.3390/s24051511
Kaleel SAbhari A(2024)TAFE-AI: A Trust-Augmented Fog and Edge AI Enabled Network Integrated with Decentralized Identity2024 Annual Modeling and Simulation Conference (ANNSIM)10.23919/ANNSIM61499.2024.10732127(1-13)Online publication date: 20-May-2024
https://doi.org/10.23919/ANNSIM61499.2024.10732127
Golpayegani FChen NAfraz NGyamfi EMalekjafarian ASchäfer DKrupitzer C(2024)Adaptation in Edge Computing: A Review on Design Principles and Research ChallengesACM Transactions on Autonomous and Adaptive Systems10.1145/366420019:3(1-43)Online publication date: 30-Sep-2024
https://dl.acm.org/doi/10.1145/3664200
Volnes EPlagemann TGoebel V(2024)To Migrate or Not to Migrate: An Analysis of Operator Migration in Distributed Stream ProcessingIEEE Communications Surveys & Tutorials10.1109/COMST.2023.333095326:1(670-705)Online publication date: Sep-2025
https://doi.org/10.1109/COMST.2023.3330953
Shehu Yalli JHilmi Hasan MAbubakar Badawi A(2024)Internet of Things (IoT): Origins, Embedded Technologies, Smart Applications, and Its Growth in the Last DecadeIEEE Access10.1109/ACCESS.2024.341899512(91357-91382)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3418995
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
Khalfi MTabbiche M(2024)GPThingSim: A IoT Simulator Based GPT Models Over an Edge-Cloud EnvironmentsInternational Journal of Networked and Distributed Computing10.1007/s44227-024-00045-w13:1Online publication date: 2-Dec-2024
https://doi.org/10.1007/s44227-024-00045-w
Hayes JAneiba AGaber M(2023)SymbIoT: Towards An Extensible Blockchain Integration Testbed for IIoTProceedings of the 1st Workshop on Enhanced Network Techniques and Technologies for the Industrial IoT to Cloud Continuum10.1145/3609389.3610565(8-14)Online publication date: 10-Sep-2023
https://dl.acm.org/doi/10.1145/3609389.3610565
Hasenburg JGrambow MBermbach D(2023)MockFog 2.0: Automated Execution of Fog Application Experiments in the CloudIEEE Transactions on Cloud Computing10.1109/TCC.2021.307498811:1(58-70)Online publication date: 1-Jan-2023
https://doi.org/10.1109/TCC.2021.3074988
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Table of Contents