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Authors: Himesh Welgama ; Kevin Lee and Jonathan Kua

Affiliation: School of Information Technology, Deakin University, VIC 3220, Geelong, Australia

Keyword(s): Edge, Cloud, Docker, IoT, Offloading.

Abstract: Typical Internet of Things (IoT) deployments are resource-constrained, with limited computation and storage, high network latency, and low bandwidth. The introduction of Edge and Cloud computing provides a method of mitigating these shortfalls. This paper proposes a framework for structuring IoT applications to allow for seamless offloading (based on CPU load) of work from IoT nodes to Edge and Cloud computing resources. The proposed flexible framework utilises software to orchestrate multiple containerised IoT applications for optimal performance within available computational resources. Edge and Cloud servers co-operate autonomously to determine the appropriate resource allocation based on the requirements of running IoT applications in real-time. The result is a framework that is suited to perform with heterogeneous IoT hardware while improving overall computational performance, latency and bandwidth relative to IoT architectures that do not auto-scale. This framework is evaluated using an experimental setup with multiple IoT nodes, Edge nodes and Cloud computing resources. It demonstrates the approach is viable and results in a flexible and scalable IoT solution. (More)

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Paper citation in several formats:
Welgama, H., Lee, K. and Kua, J. (2022). A Framework for Seamless Offloading in IoT Applications using Edge and Cloud Computing. In Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-564-7; ISSN 2184-4976, SciTePress, pages 289-296. DOI: 10.5220/0011107500003194

@conference{iotbds22,
author={Himesh Welgama and Kevin Lee and Jonathan Kua},
title={A Framework for Seamless Offloading in IoT Applications using Edge and Cloud Computing},
booktitle={Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2022},
pages={289-296},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011107500003194},
isbn={978-989-758-564-7},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - A Framework for Seamless Offloading in IoT Applications using Edge and Cloud Computing
SN - 978-989-758-564-7
IS - 2184-4976
AU - Welgama, H.
AU - Lee, K.
AU - Kua, J.
PY - 2022
SP - 289
EP - 296
DO - 10.5220/0011107500003194
PB - SciTePress

- Science and Technology Publications, Lda.
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