EDGE COMPUTING FOR REAL-TIME DATA PROCESSING
DOI:
https://doi.org/10.29121/shodhkosh.v4.i1.2023.5645Keywords:
Edge Computing, Real-Time, DataAbstract [English]
With the rise of the Internet of Things (IoT), autonomous systems, and intelligent environments, the necessecity for real-time data processing has increased significantly. Traditional cloud computing models often struggle to meet the strict demands of low latency, high bandwidth, and consistent reliability required by real-time applications such as self-driving vehicles, industrial control systems, remote medical services, and smart city infrastructure. Edge computing offers a powerful solution to these challenges by shifting computational works closer to the data source—positioned at the network's edge—thereby enhancing speed and performance.This study investigates the structure, essential components, and core technologies that form the foundation of edge computing, with particular emphasis on its role in real-time data processing. It highlights how edge computing facilitates faster response times, minimizes the burden of data transfer, and improves privacy and security by reducing the dependence on transmitting sensitive data to centralized cloud systems. Furthermore, We examine various real-world scenarios where edge computing is utilized for real-time decision-making, such as in intelligent transport systems, smart energy grids, and video analysis. Additionally, this paper explores how edge computing is integrated with emerging technologies like 5G, artificial intelligence (AI), and machine learning (ML), which significantly improve its capability to handle data processing efficiently and intelligently. Finally, we address current challenges in deploying edge-based systems, including resource constraints, interoperability, security vulnerabilities, and management complexity. The paper concludes with an outlook on future research directions and the role of edge computing in building scalable, resilient, and intelligent infrastructures for next generation real-time applications.
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Copyright (c) 2023 Nikhat Raza Khan, Gulfishan Firdose Ahmed, Raju Barskar, Ankit Kumar Singh
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