Increase the Efficiency of the Offloading Algorithm in Fog Computing by Particle Swarm Optimization Algorithm

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دشتی سید ابراهیم; زارع حسین

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Journal Paper

Paper Information

Journal: JOURNAL OF INTELLIGENT PROCEDURES IN ELECTRICAL TECHNOLOGY Year:2025 | Volume:16 | Issue:61 Page(s): 79-96

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Information Journal Paper

Title

Increase the Efficiency of the Offloading Algorithm in Fog Computing by Particle Swarm Optimization Algorithm

Author(s)

دشتی سید ابراهیم | زارع حسین | Issue Writer Certificate

Keywords

particle swarm optimization algorithm

Evolutionary Algorithm

Fog computing

Offloading

cloud processing

Abstract

Edge computing is a computing paradigm that extends cloud services to devices at the edge. This processing model refers to technologies that allow computing and storage to be performed on devices at the edge of the network. In this architecture, computing and storage operations take place close to objects and data sources. In order to reduce latency and network traffic between end devices and cloud centers, groups at the edge have processing capabilities, perform a large number of processing and computing tasks, including data processing, temporary storage, device management, decision making, and privacy protection. Since the number of edge devices is large, there must be a mechanism to select these tasks and offload them to the cloud. The problem to be decided is that which one of the available edge devices should be selected for unloading and then unloaded. This problem is classified as one of the hard non-polynomial problems and by using deterministic algorithms simply and in polynomial time, it is not possible to find a suitable and efficient solution for it found.

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