Towards a New Micro Agents Middleware for Massively Distributed Systems

Fatima Ezzahra Ezzrhari, Hassna Bensag, M. Youssfi, O. Bouattane, O. Abra
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引用次数: 2

Abstract

In the field of multi-agent systems, there are several middlewares that can facilitate the creation of Multi Agents Systems (MAS) applications. These middlewares offer programming frameworks strongly coupling the learning models of agents and their communication patterns. In most cases, when the number of agents increase, the communication models used heavily decrease the performance of these middlewares.In this paper, we present a novel model of micro ag ents middleware for massively distributed systems. This model is FIPA [1] compliant, and it is based on the principle of decoupling two aspects of the agent: the cognitive and the communication aspect. With this middleware, it is possible to create and deploy heterogeneous agents operating in distributed containers. To communicate with each other, agents of the platform can use polymorphic communication models adapted to their context. The main idea is to allow the agent to use any messaging system that has proven its performance in the field of High Performance Computing (HPC).
面向大规模分布式系统的新型微代理中间件
在多智能体系统领域,有几个中间件可以促进多智能体系统(MAS)应用程序的创建。这些中间件提供编程框架,将代理的学习模型与其通信模式紧密耦合。在大多数情况下,当代理数量增加时,所使用的通信模型会严重降低这些中间件的性能。本文提出了一种新的大规模分布式系统微代理中间件模型。该模型符合FIPA[1],它基于agent的两个方面(认知方面和通信方面)解耦的原则。有了这个中间件,就可以创建和部署在分布式容器中操作的异构代理。为了相互通信,平台的代理可以使用适应其上下文的多态通信模型。其主要思想是允许代理使用任何在高性能计算(HPC)领域中证明其性能的消息传递系统。
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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