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A Multi-Tiered Storage Structure for Cloud Computing

机译:云计算的多层存储结构

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During recent decades, cloud-based shared storage has become a popular storage solution. Nevertheless, current cloud-based I/O subsystem assumes that the storage devices are homogeneous. Recently, the multi-tiered storage system extends the storage hierarchy by using SSDs to cache data from the hard disks has received significant attention. Thus, in this paper, we design an I/O framework for multi-tiered storages in multi-tenant cloud-based shared storage environments. Specifically, we propose a two-tier per-user queuing structure to solve the user interference and device interference problem. Furthermore, on the basis of the credit-based request scheduling algorithm, we introduce the concept of device credits, instead user credits in previous schemes, to proper charge users in different types of storage devices. The experimental results show our proposed framework is effective in realizing the multi-tiered-based shared storage systems in cloud computing environments.
机译:在最近的几十年中,基于云的共享存储已成为流行的存储解决方案。但是,当前基于云的I / O子系统假定存储设备是同构的。最近,多层存储系统通过使用SSD来缓存硬盘中的数据来扩展存储层次结构已引起了广泛的关注。因此,在本文中,我们为基于多租户云的共享存储环境中的多层存储设计了一个I / O框架。具体来说,我们提出了两层的每用户排队结构,以解决用户干扰和设备干扰问题。此外,在基于信用的请求调度算法的基础上,我们引入了设备信用的概念,而不是先前方案中的用户信用,以对不同类型的存储设备中的收费用户进行适当收费。实验结果表明,我们提出的框架可有效实现云计算环境中基于多层的共享存储系统。

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