The contributions of the dissertation as follows: 1 a distributed resource scheduling model that adapt to the data grid.
论文的主要研究成果包括：1设计了一种面向数据网格的分布式资源调度模型。
In this project, an efficient distributed resource management model - computing pool is applied.
该项目中应用了一种新型、高效的计算网格模型——网格计算池。
According to different resource request that issued by transactions, existing deadlock detection algorithms of distributed database are commonly presented for certain resource request model.
根据分布式数据库中事务发出不同的资源请求方式，现有的分布式数据库死锁检测算法通常针对某种资源请求模型而提出。
This paper investigates the idea of a completely distributed Grid resource model and task scheduling algorithm, which are based on task press, to solve this bottleneck problem.
论文提出了一种完全分布的网格资源管理模型，即在网格中没有任何全局的资源信息，同时提出了与此资源模型相适应的基于任务压力的网格任务调度算法。
This model supports dynamic and distributed attribute-based resource query, and it can be argued that this model has excellent scalability.
该模型支持基于属性的动态分布式查找，并且具有很好的扩展性。
This model supports dynamic and distributed attribute-based resource query, and it can be argued that this model has excellent scalability.
该模型支持基于属性的动态分布式查找，并且具有很好的扩展性。
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