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针对具有动态性和不稳定性资源的网格计算环境的资源发现问题,提出一种基于资源索引节点的自组织资源发现模型,该模型采用了基于组的分层资源组织方式,通过信息节点管理组内资源信息,所有信息节点形成树型覆盖网络,可以在信息节点树型覆盖网络实现分布式资源定位.并提出以资源索引节点索引所有信息节点中资源的关键属性,设计了基于资源索引节点的智能资源发现算法,实验结果表明,该算法在系统负载变化情况下,能保持稳定的性能,相比集中式资源发现算法、结构化P2P资源发现算法和分布式资源算法性能更优.
Aiming at the problem of resource discovery in grid computing environment with dynamic and unstable resources, this paper proposes a resource discovery node based resource discovery model. This model uses a group-based hierarchical resource organization approach. Through information node management Information resources in the group and all information nodes form a tree covering network, and the distributed resource locating can be realized in the tree covering network of the information node, and the key attributes of resources in all information nodes are indexed by the resource indexing node, and a resource indexing node The experimental results show that this algorithm can maintain stable performance under the condition of system load variation. Compared with the centralized resource discovery algorithm, the structured P2P resource discovery algorithm and distributed resource algorithm have better performance.