一种基于块级的存储性能优化方法

性能是存储管理系统中的一项重要内容,提高存储性能可以有效地降低系统的总体拥有成本(TCO).数据迁移是性能优化的重要的组成部分,确定一个有效的模型,以决定迁移的对象和迁移的位置非常重要.提出一个定量的评价模型,与仅关心IO特性的热点检测系统不同,该模型考虑多方面的影响因素,评估磁盘中每个数据块的重要性,以此作为数据分类的依据.与其他模型最大的不同在于它是基于块级的,不考虑文件系统和上层应用程序,因此具有较好的性能.实验表明,该模型可以用于热点检测,指导数据迁移;有助于提高存储系统中存储设备的利用率.

Method for Storage Performance Optimization at Block Level

Performance is a key factor in storage management systems.To improve storage performance could reduce the TCO dramatically.As one of the most important elements in performance optimization,data migration needs a more reasonable model to decide what and where to migrate.A measurable method for evaluating the value of every data block in a disk was proposed.Comparing with the hotspots detecting system that focuses on IO characters,more factors were taken into consideration in this model.To establish the model...