【作者】 廖红；

【导师】 周明天；

【作者基本信息】 电子科技大学 ， 计算机软件与理论， 2003， 硕士

【摘要】 移动Agent是一种可以在主机之间根据自主控制进行有目的移动的软件程序，其实质是一个封装了代码、运行状态和数据的智能计算实体。作为对象技术的更高层次的发展，移动Agent具有自主性、协作性、移动性和自适应性特点，能提供离线的计算模式，减少网络的通信流量，异步运行。它为解决移动环境中的动态资源发现问题提供了新的思路。 本文介绍了现有网络中的资源发现算法和协议，分析了传统资源发现算法的不足，针对移动网络高度动态性的特点，在泛洪算法的基础上，提出了一种基于移动Agent的分布式资源发现算法，设计并实现了基于此算法的资源发现系统。通过对系统运行情况的分析，进一步改进了该系统，提出了层次化的域模型概念；同时为提高移动Agent在移动网络中资源发现的灵活性，给出了几种不同的移动策略，根据移动策略动态修改移动Agent的旅行计划，使之能够更好地适应移动网络的动态性。更多还原

【Abstract】 Mobile Agent is a kind of software which can make purposive movement among hosts by self control. It is, in essential, a compute entity which encapsulates codes, running states and data. As a higher development of object-oriented technology, mobile Agent has the characteristics of autonomy, good cooperation, mobility and self-adaptation, and it can make offline computing and reduce network traffic. This kind of technology contributes to the solution of dynamic resource discovery in the mobile environment. This thesis introduces the resource discovery algorithm of the current network, analyses the disadvantages of traditional resource discovery algorithms. Aimed at the highly dynamic characteristic of mobile network, this thesis puts forward an Agent-oriented distributed resource discovery algorithm, DDF(Double-Direction-Feedback algorithm) on the base of flooding algorithm. It also makes a design and implement of the resource discovery system which is based on the algorithm we proposed, and improves the system performance by bringing forward the concept of layered domain model. Meanwhile, to improve the flexibility of mobile Agent in the resource discovery, this thesis suggests several various travel policies, and revises Agent’ s travel plan according to travel policies to make the Agent adapt to the dynamic characteristic of mobile network more better.更多还原