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Integrated 5G and Edge Computing Framework for Low-Latency IoT Applications
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Author(s): P. Ashok (Symbiosis Institute of Digital and Telecom Management, Symbiosis International University, India), A. Pon Bharati (Amrita Vishwa Vidyapeetham, India), Srikanth Velpula (SR University, India), K. Murali Krishna (Rajalakshmi Engineering College, India), S. Lakshmi Sridevi (Chennai Institute of Technology, India), Sarala Patchala (KKR and KSR Institute of Technology and Sciences, India), S. Gopinath (Karpagam Institute of Technology, India)and Harishchander Anandaram (Amrita Vishwa Vidyapeetham, India)
Copyright: 2026
Pages: 26
Source title:
Cloud Computing's Transformative Power in Computing Environments
Source Author(s)/Editor(s): Aisha Hassan Abdalla Hashim (International Islamic University, Malaysia), Zeinab E. Ahmed (University of Gezira, Sudan), Othman O. Khalifa (International Islamic University, Malaysia)and Rashid A. Saeed (Taif University, Saudi Arabia)
DOI: 10.4018/979-8-3693-9984-2.ch010
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Abstract
The main idea of cloud computing is being widely promoted as the solution to current ongoing IT problems. In recent years the approach towards IT investment and management is constantly changing. At the same time, cloud computing has developed as a foundation of the contemporary technologies which enables the users to receive the necessary amount of such resources and services without any delays. The research paper delves into the transformative landscape of 5G networks, focusing on the fusion of edge and cloud computing. This fusion represents a paradigm shift in network architecture, promising enhanced performance, scalability, and innovation. Edge computing, characterized by real-time processing and low-latency applications, complements cloud computing's scalable resources for data storage and processing. Despite these challenges, the fusion of edge and cloud computing enables improved performance, scalability, and innovation, driving digital transformation and competitive advantage in the digital economy.
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