A Multi-Agent based Governance of Machine-to-Machine Systems

Camille Persson, Gauthier Picard, F. Ramparany, O. Boissier
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引用次数: 4

Abstract

Machine-to-Machine (M2M) systems are smart networks composed of multiple devices sensing or acting in the physical world. These devices interact together to provide data to value-added services or applications developed by various stakeholders. M2M infrastructures aim at being deployed in city wide area. They have to handle and support an increasing number of services and applications. A dynamic sharing of M2M infrastructure between applications is thus a strong requirement. To answer to such a challenge, we propose to use the multi-agent paradigm and related programming languages. Adopting a multi-agent oriented programming approach, we define an adaptive and agile layer to govern M2M infrastructures supporting different applications.
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基于多智能体的机器对机器系统治理
机器对机器(M2M)系统是由物理世界中感知或行动的多个设备组成的智能网络。这些设备相互作用,为各种利益相关者开发的增值服务或应用程序提供数据。M2M基础设施的目标是在全市范围内部署。他们必须处理和支持越来越多的服务和应用程序。因此,在应用程序之间动态共享M2M基础设施是一个强烈的需求。为了应对这样的挑战,我们建议使用多智能体范式和相关的编程语言。采用面向多代理的编程方法,我们定义了一个自适应和敏捷的层来管理支持不同应用程序的M2M基础设施。
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