Edge and Cloud Computing Architectures in IoT A Systematic Review on Applications Security and Resource Management
Year: 2025
Type: review
Abstract: Companies have identified edge-to-cloud integration as a valid way to improve the efficiency of Internet of Things (IoT) systems through the provision of data processing capability and security, and a range of other resource management services. This study entails a literature analysis of the present state of progress in the development of edge and cloud computing architecture with their applications, challenges, and possible solutions. The review reflects the effectiveness of the designs in vital fields like health, safety, privacy, and optimization of resources. It also discusses the methods that are considered hybrids, namely fog computing, and how it may be applied to IoT-related issues of lower latency, energy saving, and offloading. In general, this paper provides an in-depth review of the existing body of knowledge in terms of registration and mapping analysis, identification of trends and novel technologies like federated learning and blockchain.
Source: Elaris Computing Nexus
DOI: 10.65148/ecn/2025002
Author: Prathap Mani
Institution: American University of Kurdistan
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7093379199