为了达到网络的稳定高效运行及数据存取服务的持续可用性的目的,基于线性预测模型,建立了一种动态网络存储系统模型,引入网络监控与调整机制,采用由观测样本建立预测模型,根据预定义的约束条件和策略对存储系统自身作出自适应性调整,使存储节点负载平衡,并提高网络稳定性。通过测试其网络自动调节能力及与当前流行的网络存储系统作对比,可得出该网络存储系统模型的服务稳定性与自适应性有较大提高。
In order to achieve the goal of stable and efficient running,and consistency of data storing and retrieving service, this paper established a dynamic adoptive network storage system model with network monitoring and adjustment mechanism. Built a prediction model using collected samples,and made a series of adjustment decisions on the system according to defined constraints and policies. Achieved much more balanced load and a more stable network in the model. According to the test results in automatic adjustment capacity and the comparison between the popular network storage system and the model,service stability and automatic adjustment capacity are greatly enhanced.