Intelligent task composition and allocation through agents

A. Negri, A. Poggi, M. Tomaiuolo
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引用次数: 12

Abstract

In this paper we present GAIN (grid agent infrastructure), a multi-agent system that can be used for the development and deployment of flexible agent-based grid systems. Through the use of the agents jointly with the workflow and Web service technologies, we are able to support the users in the development and execution of grid applications. In particular, the GAIN system allows the definition of workflow applications by composing heterogeneous tasks and follows the different phases of the workflow execution, providing transparent allocation of the tasks on the different nodes of the grid. A first prototype of the system has been completed using the JADE agent development software and also some lab trials have been executed involving a small network of different JADE platforms.
通过代理实现智能任务组合和分配
在本文中,我们提出了GAIN(网格代理基础设施),这是一个多代理系统,可用于开发和部署灵活的基于代理的网格系统。通过将代理与工作流和Web服务技术结合使用,我们能够在网格应用程序的开发和执行中为用户提供支持。特别是,GAIN系统允许通过组合异构任务来定义工作流应用程序,并跟踪工作流执行的不同阶段,在网格的不同节点上提供透明的任务分配。系统的第一个原型已经使用JADE代理开发软件完成,并且一些实验室试验已经执行,涉及不同JADE平台的小型网络。
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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