| A Self-Adaptive Load Balancing Approach for Software-Defined Networks in IoT | |
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| Author | |
| Abstract |
The Internet of Things (IoT) is gaining popularity as it offers to connect billions of devices and exchange data over the internet. However, the large-scale and heterogeneous IoT network environment brings serious challenges to assuring the quality of service of IoT-based services. In this context, Software-Defined Networking (SDN) shows promise in improving the performance of IoT services by decoupling the control plane from the data plane. However, existing SDN-based distributed architectures are able to address the scalability and management issues in static IoT scenarios only.
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| Year of Publication |
2021
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| Conference Name |
IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)
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| Date Published |
Sep.
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| Publisher |
IEEE
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| Conference Location |
Washington, DC, USA
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| ISBN Number |
978-1-6654-1261-2
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| Accession Number |
21567608
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| URL |
https://ieeexplore.ieee.org/document/9659533
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| DOI |
10.1109/ACSOS52086.2021.00034
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