Adaptive Computing Optimization for Industrial IoT using SDN with Edge Computing
Author:
Affiliation:
1. Sri Chandra Sekharendra Saraswathi,Dept of ECE,Viswa MahaVidyalaya,Tamilnadu,India
2. Sri Chandra Sekharendra Saraswathi,Dept of CSE,Viswa MahaVidyalaya,Tamilnadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9752772/9753686/09754048.pdf?arnumber=9754048
Reference27 articles.
1. Software Defined Industrial Internet of Things in the Context of Industry 4.0;di;IEEE Sensor Journal,2016
2. Dynamic fog-to-fog offloading in SDN-based fog computing systems;ngu;Elseiver Future Gen of Computer sys,2021
3. SDN/NFV-empowered future IoV with enhanced communication, computing, and caching;ye;Proc IEEE,2020
4. Resource Management in SDN-Based Cloud and SDN-Based Fog Computing: Taxonomy Study;subramaniam,2021
5. SDN-Enabled Adaptive and Reliable Communication in IoT-Fog Environment Using Machine Learning and Multi objective Optimization;lei;IEEE IoT Journal,2021
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1. Fog Offloading and Task Management in IoT-Fog-Cloud Environment: Review of Algorithms, Networks, and SDN Application;IEEE Access;2024
2. Hybrid Metaheuristic Based Resource Allocation Approach in SDN-Based Edge Computing Environment;2023 2nd International Conference on Futuristic Technologies (INCOFT);2023-11-24
3. A Novel Resource Allocation in Software-Defined Networks for IoT Application;2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM);2023-09-21
4. IoT Devices Based Low Power Dependability;Low Power Architectures for IoT Applications;2023
5. Low Power Methodologies for FPGA—An Overview;Low Power Architectures for IoT Applications;2023
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