Smart City Gnosys
Smart city article details
| Title | Integration Of Iot With Cloud, Fog, And Edge Computing: A Review |
|---|---|
| ID_Doc | 32182 |
| Authors | Kuchuk H.; Malokhvii E. |
| Year | 2024 |
| Published | Advanced Information Systems, 8, 2 |
| DOI | http://dx.doi.org/10.20998/2522-9052.2024.2.08 |
| Abstract | Purpose of review. The paper provides an in-depth exploration of the integration of Internet of Things (IoT) technologies with cloud, fog, and edge computing paradigms, examining the transformative impact on computational architectures. Approach to review. Beginning with an overview of IoT's evolution and its surge in global adoption, the paper emphasizes the increasing importance of integrating cloud, fog, and edge computing to meet the escalating demands for real-time data processing, low-latency communication, and scalable infrastructure in the IoT ecosystem. The survey meticulously dissects each computing paradigm, highlighting the unique characteristics, advantages, and challenges associated with IoT, cloud computing, edge computing, and fog computing. The discussion delves into the individual strengths and limitations of these technologies, addressing issues such as latency, bandwidth consumption, security, and data privacy. Further, the paper explores the synergies between IoT and cloud computing, recognizing cloud computing as a backend solution for processing vast data streams generated by IoT devices. Review results. Challenges related to unreliable data handling and privacy concerns are acknowledged, emphasizing the need for robust security measures and regulatory frameworks. The integration of edge computing with IoT is investigated, showcasing the symbiotic relationship where edge nodes leverage the residual computing capabilities of IoT devices to provide additional services. The challenges associated with the heterogeneity of edge computing systems are highlighted, and the paper presents research on computational offloading as a strategy to minimize latency in mobile edge computing. Fog computing's intermediary role in enhancing bandwidth, reducing latency, and providing scalability for IoT applications is thoroughly examined. Challenges related to security, authentication, and distributed denial of service in fog computing are acknowledged. The paper also explores innovative algorithms addressing r esource management challenges in fog-IoT environments. Conclusions. The survey concludes with insights into the collaborative integration of cloud, fog, and edge computing to form a cohesive computational architecture for IoT. The future perspectives section anticipates the role of 6G technology in unlocking the full potential of IoT, emphasizing applications such as telemedicine, smart cities, and enhanced distance learning. Cybersecurity concerns, energy consumption, and standardization challenges are identified as key areas for future research. © Kuchuk H., Malokhvii E., 2024. |
| Author Keywords | Cloud Computing; Computational Architecture; Data Processing; Distributed Computing; Edge Computing; Fog Computing; Hybrid Computing; Internet of Things; IoT Applications; Scalability |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
55549  | 0.931 | Alli A.A.; Alam M.M. | The Fog Cloud Of Things: A Survey On Concepts, Architecture, Standards, Tools, And Applications | Internet of Things (Netherlands), 9 (2020) |
| 5342 | 0.931 | Yu W.; Liang F.; He X.; Hatcher W.G.; Lu C.; Lin J.; Yang X. | A Survey On The Edge Computing For The Internet Of Things | IEEE Access, 6 (2017) |
| 13107 | 0.929 | Krishnappa M.S.; Jayabalan D.; Harve B.M.; Jayaram V.; Bidkar D.M.; Veerapaneni P.K.; Gejjegondanahalli V.Y. | Building The Future Of Iot: Cloud Platforms, Integration Challenges, And Emerging Applications | 2024 International Conference on Computer and Applications, ICCA 2024 (2024) |
| 4182 | 0.928 | Kumar S.; Singh P.; Singh A. | A Review Of Optimized Computational Strategies For Iot: Cloud, Fog, And Edge Computing Approaches | Proceedings of 5th International Conference on Pervasive Computing and Social Networking, ICPCSN 2025 (2025) |
| 39123 | 0.927 | Chahar S.; Kaswan K.S.; Aggarwal A.; Dhatterwal J.S. | New Era Of Iot With Cloud Computing: A Review Of Technology, Issues And Challenges | 2024 2nd International Conference on Advancements and Key Challenges in Green Energy and Computing, AKGEC 2024 (2024) |
| 30629 | 0.927 | Asha A.; Rajeshkumar L.; Pandi V.S.; Shobana D.; Lakshmi Priya J.; Dayanidhy M. | Implementing Cloud Computing With Internet Of Things (Iot) Technologies: Novel Approaches To Data Management And Service Delivery Innovation | 2024 Global Conference on Communications and Information Technologies, GCCIT 2024 (2024) |
| 26743 | 0.925 | Hazra A.; Rana P.; Adhikari M.; Amgoth T. | Fog Computing For Next-Generation Internet Of Things: Fundamental, State-Of-The-Art And Research Challenges | Computer Science Review, 48 (2023) |
| 21849 | 0.922 | Sulieman N.A.; Celsi L.R.; Li W.; Zomaya A.; Villari M. | Edge-Oriented Computing: A Survey On Research And Use Cases | Energies, 15, 2 (2022) |
| 26764 | 0.922 | Mahmood Z. | Fog Computing: Concepts, Frameworks And Technologies | Fog Computing: Concepts, Frameworks and Technologies (2018) |
| 57916 | 0.919 | Zhang Y.; Feng J. | Towards A Smart And Sustainable Future With Edge Computing-Powered Internet Of Things: Fundamentals, Applications, Challenges, And Future Research Directions | Journal of The Institution of Engineers (India): Series B, 106, 2 (2025) |