Improved Political Optimizer and Deep Neural Network-based Resource Management Strategy for fog Enabled Cloud Computing

Author:

Prakash M1,V Vijayaganth2,Shadrach Finney Daniel3,Menaha R.4,Daniya T5,Guha Tapas6

Affiliation:

1. VIT University,School of Computer Science and Engineering,Vellore,India

2. KPR Institute of Engineering and Technology,Department of Computer science and Engineering,Coimbatore,Tamil Nadu

3. KPR Institute of Engineering and Technology,Department of Electronics and Communication Engineering,Coimbatore,Tamil Nadu

4. Sri Eshwar College of Engineering,Department of Information Technology,Coimbatore,Tamil Nadu

5. GMR Institute of Technology,Department of Information Technology,Rajam,Andhra Pradesh

6. Nitte Meenakshi Institute of Technology,Department of Artificial Intelligence and Machine Learning,Bengaluru,India

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimized dynamic service placement for enhanced scheduling in fog-edge computing environments;Sustainable Computing: Informatics and Systems;2024-12

2. Fire Alert System for Home Using IoT;2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26

3. Performance Optimization in Software-Defined Networks Based on IoT Networks;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

4. A Comprehensive Review of AI Techniques for Resource Management in Fog Computing: Trends, Challenges, and Future Directions;IEEE Access;2024

5. Investigating Neural Network-Based Deep Learning Strategies for Real-Time Data Analysis in Machine Learning;2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC);2023-12-19

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