Edge Computing: Enhancing Real-Time Data Processing For IT-Drives Industries
Edge computing changes the way IT works by helping tech-driven industries handle their growing need for fast data processing. Through edge computing data gets processed near the source which helps reduce speed delays and boosts system performance for better service delivery. This article explains how edge computing works while showing how it partners with IT systems and helps businesses access data in real time. Edge computing works well in many different industry fields such as manufacturing, healthcare, telecommunications, and auto production to show its system use. While edge computing delivers many advantages it needs more work to solve size restrictions, protect security interests and make itself affordable. Edge computing will transform IT-driven industries by bringing smarter technology that helps companies innovate and take better decisions faster.
Nain, G., Pattanaik, K. K., & Sharma, G. K. (2022). Towards edge computing in intelligent manufacturing: Past, present and future. Journal of Manufacturing Systems, 62, 588-611.
Lu, S., & Shi, W. (2023). Vehicle computing: Vision and challenges. Journal of Information and Intelligence, 1(1), 23-35.
Ming, G. (2023). Exploration of the intelligent control system of autonomous vehicles based on edge computing. PLoS One, 18(2), e0281294.
Barzegaran, M., Desai, N., Qian, J., & Pop, P. (2021). Electric drives as fog nodes in a fog computing‐based industrial use case. The Journal of Engineering, 2021(12), 745-761.
Kanimozhi Suguna, S., & Nanda Kumar, S. (2019). Application of cloud computing and internet of things to improve supply chain processes. Edge computing: From hype to reality, 145-170.
Suguna, S. K., & Kumar, S. N. (2018). Application of Cloud Computing and Internet of Things to Improve Supply. Edge Computing: From Hype to Reality, 145.
Devi, O. R., Webber, J., Mehbodniya, A., Chaitanya, M., Jawarkar, P. S., Soni, M., & Miah, S. (2022). The Future Development Direction of Cloud‐Associated Edge‐Computing Security in the Era of 5G as Edge Intelligence. Scientific Programming, 2022(1), 1473901.
Chen, R. Y. (2017). An intelligent value stream-based approach to collaboration of food traceability cyber physical system by fog computing. Food Control, 71, 124-136.
Xia, C., Jin, X., Kong, L., Xu, C., & Zeng, P. (2019). Lane scheduling around crossroads for edge computing based autonomous driving. Journal of Systems Architecture, 95, 1-8.
Tao, Z., Xia, Q., Hao, Z., Li, C., Ma, L., Yi, S., & Li, Q. (2019). A survey of virtual machine management in edge computing. Proceedings of the IEEE, 107(8), 1482-1499.
Manoharan, A., & Nagar, G. MAXIMIZING LEARNING TRAJECTORIES: AN INVESTIGATION INTO AI-DRIVEN NATURAL LANGUAGE PROCESSING INTEGRATION IN ONLINE EDUCATIONAL PLATFORMS.
Ferdinand, J. (2024). Marine Medical Response: Exploring the Training, Role and Scope of Paramedics.
Nagar, G. (2018). Leveraging Artificial Intelligence to Automate and Enhance Security Operations: Balancing Efficiency and Human Oversight. Valley International Journal Digital Library, 78-94.
Kumar, S., & Nagar, G. (2024, June). Threat Modeling for Cyber Warfare Against Less Cyber-Dependent Adversaries. In European Conference on Cyber Warfare and Security (Vol. 23, No. 1, pp. 257-264).
Alam, K., Mostakim, M. A., & Khan, M. S. I. (2017). Design and Optimization of MicroSolar Grid for Off-Grid Rural Communities. Distributed Learning and Broad Applications in Scientific Research, 3.
Mahmud, U., Alam, K., Mostakim, M. A., & Khan, M. S. I. (2018). AI-driven micro solar power grid systems for remote communities: Enhancing renewable energy efficiency and reducing carbon emissions. Distributed Learning and Broad Applications in Scientific Research, 4.
Hossen, M. S., Alam, K., Mostakim, M. A., Mahmud, U., Al Imran, M., & Al Fathah, A. (2022). Integrating solar cells into building materials (Building-Integrated Photovoltaics-BIPV) to turn buildings into self-sustaining energy sources. Journal of Artificial Intelligence Research and Applications, 2(2).
Arefin, S., & Simcox, M. (2024). AI-Driven Solutions for Safeguarding Healthcare Data: Innovations in Cybersecurity. International Business Research, 17(6), 1-74.
Nagar, G. (2024). The evolution of ransomware: tactics, techniques, and mitigation strategies. International Journal of Scientific Research and Management (IJSRM), 12(06), 1282-1298.
Ferdinand, J. (2023). The Key to Academic Equity: A Detailed Review of EdChat’s Strategies.
Manoharan, A. UNDERSTANDING THE THREAT LANDSCAPE: A COMPREHENSIVE ANALYSIS OF CYBER-SECURITY RISKS IN 2024.
Nagar, G., & Manoharan, A. (2022). THE RISE OF QUANTUM CRYPTOGRAPHY: SECURING DATA BEYOND CLASSICAL MEANS. 04. 6329-6336. 10.56726. IRJMETS24238.
Ferdinand, J. (2023). Marine Medical Response: Exploring the Training, Role and Scope of Paramedics and Paramedicine (ETRSp). Qeios.
Nagar, G., & Manoharan, A. (2022). ZERO TRUST ARCHITECTURE: REDEFINING SECURITY PARADIGMS IN THE DIGITAL AGE. International Research Journal of Modernization in Engineering Technology and Science, 4, 2686-2693.
Alam, K., Hossen, M. S., Al Imran, M., Mahmud, U., Al Fathah, A., & Mostakim, M. A. (2023). Designing Autonomous Carbon Reduction Mechanisms: A Data-Driven Approach in Renewable Energy Systems. Well Testing Journal, 32(2), 103-129.
Al Imran, M., Al Fathah, A., Al Baki, A., Alam, K., Mostakim, M. A., Mahmud, U., & Hossen, M. S. (2023). Integrating IoT and AI For Predictive Maintenance in Smart Power Grid Systems to Minimize Energy Loss and Carbon Footprint. Journal of Applied Optics, 44(1), 27-47.
ccc
Alam, K., Al Imran, M., Mahmud, U., & Al Fathah, A. (2024). Cyber Attacks Detection And Mitigation Using Machine Learning In Smart Grid Systems. Journal of Science and Engineering Research, November, 12.
Ferdinand, J. (2023). Emergence of Dive Paramedics: Advancing Prehospital Care Beyond DMTs.
Nagar, G., & Manoharan, A. (2022). THE RISE OF QUANTUM CRYPTOGRAPHY: SECURING DATA BEYOND CLASSICAL MEANS. 04. 6329-6336. 10.56726. IRJMETS24238.
Copyright (c) 2025 International Journal of Engineering and Computer Science
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.