摘要
提出了一种基于移动Agent的非集中式网格资源发现方法,通过Agent共享服务请求环境中重叠部分的信息,减少整个信息索存储空间的数量,从而提高了查找效率。Agent并行处理查找任务,可扩展性提高了。同时提出了一种基于CE算法的资源查找算法ApRD,该算法是完全分布式的,由移动Agent来执行。实验结果表明该方法可获得较满意的资源定位性能,能适应网格资源的分布性、动态参与和良好的可扩展性。
A decentralized grid resource discovery method based on Mobile agent is studied in this paper,in which we let agents share information about the overlapping parts of the user profile and increases the search efficiency.Multiple species of agents may search in parallel,Furthermore,a resource discovery algorithm named ApRD in Grid environment is also provided as well as performed by agents.And simulation experimental results indicate that the method is satisfying to find resource paths and can adapt to the distributing,participating dynamically and a good scalability of grid resource.
出处
《计算机工程与应用》
CSCD
北大核心
2006年第8期118-120,共3页
Computer Engineering and Applications
基金
国家自然科学基金资助项目(编号:60433020)
中南大学博士后基金资助项目(编号:200402)