Quality of Service-Driven Optimized Resource Provisioning in Fog Computing
Quality of Service-Driven Optimized Resource Provisioning in Fog Computing |
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| © 2025 by IJETT Journal | ||
| Volume-73 Issue-2 |
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| Year of Publication : 2025 | ||
| Author : Vadde Usha, T. K. Rama Krishna Rao |
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| DOI : 10.14445/22315381/IJETT-V73I2P101 | ||
How to Cite?
Vadde Usha, T. K. Rama Krishna Rao, "Quality of Service-Driven Optimized Resource Provisioning in Fog Computing," International Journal of Engineering Trends and Technology, vol. 73, no. 2, pp. 1-8, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I2P101
Abstract
Fog computing extends cloud services at the network edge and has become a feasible solution for delay-sensitive IoT applications. In order to prevent uneven load distribution and to ensure the quality of service, resource provisioning is an essential aspect of the fog network. As fog nodes are dynamic and heterogeneous with varying resource capabilities, effective resource provisioning mechanisms are required for the potential use of the fog environment. Since IoT applications have different QoS requirements, it is necessary to develop efficient resource provisioning techniques considering the deadlines of applications. Numerous approaches to fog computing resource provisioning exist in the literature; nevertheless, there is still scope for improvement in the performance. In this work, we propose QoS-driven resource provisioning using an enhanced Coati Optimization Algorithm (eCOA). Our proposed model aims to minimize the delay, energy, and execution cost of IoT applications while focusing on QoS application requirements. The results have shown that the proposed algorithm reduces, on average, 21% of delay,25% of energy and 24% of cost compared to other meta-heuristic algorithms.
Keywords
Enhanced coati optimization, Fog computing, Optimization, Quality of service, Resource provision.
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