Abstract: According to the characteristics of grid environment，combined with the existing resource searching mechanism，the paper proposes a layered framework of grid resource searching mechanism.The grid resources are organized in two layers，grid virtual community layer and resource layer.In accordance with the resource attribute，the grid is divided logically.Based on the layered framework，according to the small-world theory，it proposes a resource discovery strategy based on the recommendation of information sharing mechanism.That is，through a third part node，two nodes which at first have no relationship link together.They have similar demanding and can share each other’s information of resource pool.The simulations show that this strategy is more efficient than Globus MDS.

摘要： 根据网格环境特点，结合现有网格以及其他分布式环境下资源查找的特点，提出了网格资源查找机制的分层框架，将网格中的资源组织为网格虚拟社区和资源两个基本层次，建立一种分层网格框架，按照资源属性，对网格进行逻辑划分。在此分层框架的基础上，根据小世界模型，提出一种基于推荐的资源信息共享机制，即通过第三方结点，将原本无关系的而需求相近的结点联系起来，共享各自的资源池信息。通过模拟仿真，和Globus MDS进行资源查找速度和匹配程度的比较，证明了该策略的高效性。