AI-driven cloud-edge synergy in telecom: An approach for real-time data processing and latency optimization
Year: 2025
Type: article
Abstract: In recent years, the telecommunication industry has seen significant advancements with the integration of AI, cloud computing, and edge computing. These technologies, when combined, enable telecom providers to process data more effectively, minimize latency, and enhance service delivery. This paper explores the synergy between AI, cloud, and edge computing in the telecom sector, highlighting innovative approaches to real-time data processing and latency optimization. Through a deep dive into emerging trends, this article identifies novel methodologies and applications in AI-driven cloud-edge integration, with a focus on telecom infrastructure, 5G networks, and IoT ecosystems.
Authors: Adedeji Ojo Oladejo, Omoniyi David Olufemi, Eunice Kamau, David O Mike-Ewewie, Adebayo Lateef Olajide, Daniel Williams
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409117305