research-article

A Scalable Framework for Provisioning Large-Scale IoT Deployments

Authors:

Michael Vögler,

Johannes M. Schleicher,

Christian Inzinger,

Schahram DustdarAuthors Info & Claims

ACM Transactions on Internet Technology (TOIT), Volume 16, Issue 2

Article No.: 11, Pages 1 - 20

https://doi.org/10.1145/2850416

Published: 29 March 2016 Publication History

Abstract

Internet of Things (IoT) devices are usually considered external application dependencies that only provide data or process and execute simple instructions. The recent emergence of IoT devices with embedded execution environments allows practitioners to deploy and execute custom application logic directly on the device. This approach fundamentally changes the overall process of designing, developing, deploying, and managing IoT systems. However, these devices exhibit significant differences in available execution environments, processing, and storage capabilities. To accommodate this diversity, a structured approach is needed to uniformly and transparently deploy application components onto a large number of heterogeneous devices. This is especially important in the context of large-scale IoT systems, such as in the smart city domain. In this article, we present LEONORE, an infrastructure toolset that provides elastic provisioning of application components on resource-constrained and heterogeneous edge devices in large-scale IoT deployments. LEONORE supports push-based as well as pull-based deployments. To improve scalability and reduce generated network traffic between cloud and edge infrastructure, we present a distributed provisioning approach that deploys LEONORE local nodes within the deployment infrastructure close to the actual edge devices. We show that our solution is able to elastically provision large numbers of devices using a testbed based on a real-world industry scenario.

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Cited By

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https://doi.org/10.1016/j.comnet.2023.110134
Husain MAhmadi MMardukhi F(2024)Vehicular Fog Computing: A Survey of Architectures, Resource Management, Challenges and Emerging TrendsWireless Personal Communications: An International Journal10.1007/s11277-024-11373-z136:4(2243-2273)Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1007/s11277-024-11373-z
Jha VTripathi P(2024)Decentralized knowledge discovery using massive heterogenous data in Cognitive IoTCluster Computing10.1007/s10586-023-04154-z27:3(3657-3682)Online publication date: 1-Jun-2024
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Index Terms

A Scalable Framework for Provisioning Large-Scale IoT Deployments
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. Computing methodologies
  1. Distributed computing methodologies

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Published In

cover image ACM Transactions on Internet Technology

ACM Transactions on Internet Technology Volume 16, Issue 2

April 2016

150 pages

ISSN:1533-5399

EISSN:1557-6051

DOI:10.1145/2909066

Editor:
Munindar P. Singh
Department of Computer Science, North Carolina State University

Issue’s Table of Contents

Copyright © 2016 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 March 2016

Accepted: 01 November 2015

Revised: 01 October 2015

Received: 01 July 2015

Published in TOIT Volume 16, Issue 2

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Cited By

Chakour IMhammedi SDaoui CBaslam M(2024)Unlocking QoS Potential: Integrating IoT services and Monte Carlo Control for heterogeneous IoT device management in gatewaysComputer Networks10.1016/j.comnet.2023.110134238(110134)Online publication date: Jan-2024
https://doi.org/10.1016/j.comnet.2023.110134
Husain MAhmadi MMardukhi F(2024)Vehicular Fog Computing: A Survey of Architectures, Resource Management, Challenges and Emerging TrendsWireless Personal Communications: An International Journal10.1007/s11277-024-11373-z136:4(2243-2273)Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1007/s11277-024-11373-z
Jha VTripathi P(2024)Decentralized knowledge discovery using massive heterogenous data in Cognitive IoTCluster Computing10.1007/s10586-023-04154-z27:3(3657-3682)Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1007/s10586-023-04154-z
Zafar SIbrar MErbad AZafar BZaydi NHu X(2023)Achieving Quality of Service and Traffic Equilibrium in Software-Defined IoT Networks2023 International Symposium on Networks, Computers and Communications (ISNCC)10.1109/ISNCC58260.2023.10323759(1-6)Online publication date: 23-Oct-2023
https://doi.org/10.1109/ISNCC58260.2023.10323759
Hanna CPetke JBissyandé TKlein JBird CSarro F(2023)Hot Patching Hot Fixes: Reflection and PerspectivesProceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering10.1109/ASE56229.2023.00021(1781-1786)Online publication date: 11-Nov-2023
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Li ZRanjan RPasquale LTreude C(2022)Just enough, just in time, just for "me"Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results10.1145/3510455.3512785(56-60)Online publication date: 21-May-2022
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Li ZRanjan R(2022)Just Enough, Just in Time, Just for “Me”: Fundamental Principles for Engineering IoT-native Software Systems2022 IEEE/ACM 44th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)10.1109/ICSE-NIER55298.2022.9793531(56-60)Online publication date: May-2022
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Islam MRamezani FLu HNaderpour M(2022)Optimal Placement of Applications in the Fog Environment: A Systematic Literature ReviewJournal of Parallel and Distributed Computing10.1016/j.jpdc.2022.12.001Online publication date: Dec-2022
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Rejeb ARejeb KZailani SAbdollahi A(2022)Knowledge Diffusion of the Internet of Things (IoT): A Main Path AnalysisWireless Personal Communications: An International Journal10.1007/s11277-022-09787-8126:2(1177-1207)Online publication date: 1-Sep-2022
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Song HDautov RFerry NSolberg AFleurey F(2022)Model-based fleet deployment in the IoT–edge–cloud continuumSoftware and Systems Modeling (SoSyM)10.1007/s10270-022-01006-z21:5(1931-1956)Online publication date: 1-Oct-2022
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