Performance analysis of network topologies in agent-based open connectivity architecture for DSS

H. Zhang, C. Leung, G. Raikundalia
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引用次数: 11

Abstract

Performance analysis of agent network topologies helps multi-agent system developers to understand the impact of topology on system efficiency and effectiveness. Appropriate topology analysis enables the adoption of suitable frameworks for the specific multi-agent systems. In this paper, we propose a novel hybrid topology for distributed multi-agent systems, and compare the performance of this topology with two other common agent network topologies within the new multi-agent framework, agent-based open connectivity for DSS (AOCD). Three major aspects are studied for estimating topology performance, which include (i) transmission time for a set of requests; (ii) waiting time for processing requests; and (iii) memory consumption for storing agent information.
基于agent的DSS开放连接体系结构网络拓扑性能分析
智能体网络拓扑的性能分析有助于多智能体系统开发人员了解拓扑对系统效率和有效性的影响。适当的拓扑分析可以为特定的多代理系统采用合适的框架。在本文中,我们为分布式多智能体系统提出了一种新的混合拓扑,并在新的多智能体框架——基于智能体的DSS开放连接(AOCD)中,将这种拓扑与其他两种常见的智能体网络拓扑的性能进行了比较。研究了拓扑性能评估的三个主要方面,包括(i)一组请求的传输时间;(ii)处理申请的等待时间;(iii)用于存储代理信息的内存消耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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