基于云模型的网格资源分配策略

网格是下一代的Internet,是目前网络研究的重点。网格资源分配是网格中非常重要的部分,而且网格资源有分布、异构、动态、由多个组织所拥有和具有不同的使用、访问及消费模型等特点,属于定性的范畴。传统的网格资源分配策略无法有效对定性的网格资源进行分配,容易形成网络瓶颈。云模型是定性定量间转换的不确定性模型,通过它能将定性的网格资源转换为定量的表达。因此笔者提出了一种新的网格资源分配策略,把云模型运用于网格资源分配,将定性的网格资源映射为定量的可细微变化的不同云滴,然后再配合目前研究相对比较成熟的算法或模型进行资源分配,实验表明新的策略能更准确地对网格资源进行评价并有效分配。

A Grid Resource Allocation Strategy Based on Cloud Model

Grid is the next generation Internet,and it is the emphasis of current network research.Grid resource allocation is a very important part of Grid,and grid resource has some characteristic such as distributed,heterogeneous,dynamic,owned by different organization and has different use,access and consume model,so it belongs to qualitative category.Traditional grid resource allocation strategy can't effectively allocate qualitative grid resource,and easy to make network vase-neck come into being.Cloud model is an uncertain model based on transition between qualitative and quantitative,and it can transform qualitative grid resource to quantitative expression.So this paper proposes a new grid resource allocation strategy,it applies cloud model to grid resource allocation to mapping qualitative grid resource to some quantitative changeable different drops,and then cooperates with some relative mature algorithms or models that have been researched currently to allocate resource.Experiments show that the new strategy can evaluate grid resource more exactly and can achieve grid resource allocation more effectively.