Multi-Agent系统基于优先级的负载均衡任务调度模型*

从企业收集、监测互联网信息的实际需求出发，介绍基于Multi-Agent的分布式信息采集系统的结构模型；重点阐述中心控制Agent在组间层次上、调度Agent在组内层次上基于优先级的任务调度算法；为达到系统中运行任务Agent的各节点主机负载均衡，给出调度Agent与任务Agent间的组内协商机制；对系统原型的测试结果表明，基于优先级的负载均衡任务调度模型的正确性与有效性。

Load Balancing Task Scheduling Model Based on Priorities for Multi-Agent System

According to companies'practical demands on gathering and monitoring information on Internet,this paper firstly introduces the architecture of the Multi-Agent based distributed information collection system.A priority-based task scheduling algorithm is presented for central control agent in the cross-group level and for scheduling Agent in the in-group level.The author also proposes an in-group collaborative mechanism that can maintain load balancing among hosts where task Agents are executing.The test resuls for the system prototype demonstrate the validity and effectiveness of the priority-based load balancing task scheduling model.