Research on the Interaction Mode between Resource Aggregation Subject and Upper Platform Based on Intelligent Algorithm

• Published in: 2025 Asia-Europe Conference on Cybersecurity, Internet of Things and Soft Computing (CITSC) pp. 381 - 386
• Main Authors: Hua, Feng, Hanbing, Zhang, Jichao, Ye, Yonghai, Xu, Ning, Ding
• Format: Conference Proceeding
• Language: English
• Published: IEEE 10.01.2025
• Subjects: Faces; Heuristic algorithms; interaction mode; Internet of Things; Multi-agent system; Multi-agent systems; Optimization; resource aggregation; Resource management; Scalability; Simulation; Stability analysis; subject and upper platform; Time factors
• DOI: 10.1109/CITSC64390.2025.00075

This paper proposes a resource aggregation framework based on multi-agent system. In this framework, the resource aggregation subject interacts with the upper platform through intelligent algorithm to achieve efficient scheduling and optimal configuration of resources. This paper discusses the design and resource aggregation mechanism of multi-agent system in detail, constructs the interaction mode between resource aggregation subject and upper platform, and emphasizes the data flow and decision-making process in the interaction. In order to verify the effectiveness of the proposed method, an intelligent algorithm model was designed and a variety of simulation experiments were carried out. The simulation results show that the system has significantly improved resource scheduling and utilization, and can effectively deal with resource configuration problems in complex environments. Through precise data analysis, this paper further discusses the performance advantages and application prospects of the algorithm, especially its adaptability and scalability in different scenarios. This study provides an innovative solution for resource aggregation and platform interaction in multi-agent system, which has wide application value.