Based on Multi-Agent Collaboration: A Distributed Resource Scheduling System

Abstract

This paper presents a novel approach to distributed resource scheduling utilizing a multi-agent collaborative framework. The core claim is that through the orchestrated interaction of multiple intelligent agents, dynamic and optimized scheduling of distributed resources can be achieved, ultimately enhancing resource utilization and overall system performance. The proposed system constructs a "Resource Management Network" comprised of several agents, each dedicated to managing a specific resource type. These agents communicate and make decisions via defined protocols, enabling a highly adaptable and robust scheduling process. The system leverages the strengths of multi-agent collaboration to improve the flexibility and resilience of traditional centralized scheduling methods. This research addresses the limitations of static, pre-defined scheduling policies by introducing a dynamic, self-organizing system capable of responding to real-time conditions and evolving demands. The presented architecture provides a scalable solution for diverse distributed systems, including cloud computing, IoT networks, and edge computing environments. Further investigation into performance metrics and potential extensions is warranted. ---