Journal of Computer and Communication Networks
Research Article
Volume 01, 2025
Performance Evaluation of Fog Computing for Latency and Energy Efficiency in IoT Applications
Journal of Computer and Communication Networks
Received On : 15 December 2024
Revised On : 20 January 2025
Accepted On : 18 February 2025
Published On : 24 February 2025
Volume 01, 2025
Pages : 022-032
Abstract
A simulation through iFogSim evaluates the performance between cloud-only and edge-ward placement strategies in Fog computing environments when used for traffic surveillance and an online multiplayer game. An evaluation operated via iFogSim framework conducts tests on essential metrics, which include latency and energy consumption alongside network usage, RAM usage, and data transfer rate measurements. Our study establishes that using edge-ward strategy leads to substantial performance improvement through minimal latency while decreasing both energy consumption and network usage particularly when Fog devices operate at network edges during the traffic surveillance scenario. The edge-ward strategy delivers better scalability with shorter control loop delays which delivers enhanced performance for users in the analysis of the online game case study. On the other hand, the fog-based strategy maintains steady performance improvements for RAM utilization through enlarged deployment numbers combined with sustained minimal overhead. Fog computing demonstrates strong potential for improving the performance alongside resource usage in both IoT applications and latency-centric implementations thus serving as a viable solution for solving traditional cloud-based system constraints.
Keywords
Fog Computing, Edge-Ward Execution, iFogSim, Latency Optimization, Energy Efficiency, Network Utilization, Real-Time EEG Processing.
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Cite this Article
Natarajan K, “Performance Evaluation of Fog Computing for Latency and Energy Efficiency in IoT Applications”, Journal of Computer and Communication Networks, pp. 022-032, 24 February 2025, doi: 10.64026/JCCN/2025003.
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© 2025 Natarajan K. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.