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首页> 外文期刊>International journal of mobile computing and multimedia communications >Distributed Resource Allocation Generic Model and Solution Based on Constraint Programming and Multi-Agent System for Machine to Machine Services
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Distributed Resource Allocation Generic Model and Solution Based on Constraint Programming and Multi-Agent System for Machine to Machine Services

机译:基于约束编程和多Agent系统的机器对机器服务分布式资源分配通用模型和解决方案

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摘要

The growth of technological capabilities of mobile devices, the evolution oj wireless communication technologies, and the maturity of embedded systems contributed to expand the Machine to machine (M2M) concept. M2M refers to data communication between machines without human intervention- The objective oj this paper is to present the grand schemes of a model to be used in an agricultural Decision support System. The authors start by explaining and justifying the need for a hybrid system that uses both Multi-Agent System (MAS) and Constraint Programming (CP) paradigms. Then, the authors propose an approach lor Constraint Programming and Multi-Agent System mixing based on controller agent concept. The authors present concrete constraints and agents to be used in a distributed architecture based on the proposed approach for M2M services and agricultural decision support. The platform is built in Java using general interfaces of both MAS and Constraint Satisfaction Problem (CSP) platforms and the conception is made by agent UML. (AUML).
机译:移动设备的技术能力的增长,无线通信技术的发展以及嵌入式系统的成熟,都有助于扩展“机器对机器”(M2M)概念。 M2M指的是无需人工干预的机器之间的数据通信-本文的目的是提出一种用于农业决策支持系统的模型的宏伟方案。作者首先说明并证明了对同时使用多代理系统(MAS)和约束编程(CP)范式的混合系统的需求。然后,作者提出了一种基于控制器代理概念的约束编程和多Agent系统混合的方法。作者基于提出的M2M服务和农业决策支持方法,提出了在分布式体系结构中使用的具体约束条件和代理。该平台是使用MAS和约束满足问题(CSP)平台的通用接口以Java构建的,其概念是由代理UML提出的。 (AUML)。

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