Journal: Advances in Computer and Autonomous Intelligence Research DOI: 10.32629/acair.v4i3.21371
Abstract
针对企业级分布式系统于高并发情形下任务调度刻板、资源利用率起伏大等难点,提 出一种融入多智能体系统(MAS)理论的微服务协作方案。此方案基于Spring Boot的自动装配特性,搭建拥有自组织能力的管理Agent和执行Agent集群。在任务分 配方案上,舍弃传统的静态路由模式,设计出一种基于加权效用函数的动态竞拍方法 ,全面考量节点的实时负载状况、历史任务成功率以及网络延迟等多方面参数。实验 结果表明,此机制平均在45ms内完成任务判定,与传统Ribbon轮询方案相比,系统总体 吞吐量提高35%,并且在节点故障情形下显示出出色的自愈效能。
Keywords
Spring Boot；多智能体系统；任务调度；微服务；分布式协作
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