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Exploiting Rateless Codes in Cloud Storage Systems

机译:在云存储系统中利用无速率代码

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摘要

Block-level cloud storage (BLCS) offers to users and applications the access to persistent block storage devices (virtual disks) that can be directly accessed and used as if they were raw physical disks. In this paper we devise ENIGMA, an architecture for the back-end of BLCS systems able to provide adequate levels of access and transfer performance, availability, integrity, and confidentiality, for the data it stores. ENIGMA exploits LT rateless codes to store fragments of sectors on storage nodes organized in clusters. We quantitatively evaluate how the various ENIGMA system parameters affect the performance, availability, integrity, and confidentiality of virtual disks. These evaluations are carried out by using both analytical modeling (for availability, integrity, and confidentiality) and discrete event simulation (for performance), and by considering a set of realistic operational scenarios. Our results indicate that it is possible to simultaneously achieve all the objectives set forth for BLCS systems by using ENIGMA, and that a careful choice of the various system parameters is crucial to achieve a good compromise among them. Moreover, they also show that LT coding-based BLCS systems outperform traditional BLCS systems in all the aspects mentioned before.
机译:块级云存储(BLCS)向用户和应用程序提供对永久性块存储设备(虚拟磁盘)的访问,这些设备可以直接访问和使用,就像它们是原始物理磁盘一样。在本文中,我们设计了ENIGMA,这是BLCS系统后端的体系结构,能够为其存储的数据提供足够级别的访问和传输性能,可用性,完整性和机密性。 ENIGMA利用LT无速率代码将扇区的片段存储在群集组织的存储节点上。我们定量评估各种ENIGMA系统参数如何影响虚拟磁盘的性能,可用性,完整性和机密性。这些评估是通过使用分析模型(针对可用性,完整性和机密性)和离散事件模拟(针对性能)并考虑一组实际的操作方案来进行的。我们的结果表明,通过使用ENIGMA可以同时实现BLCS系统提出的所有目标,并且仔细选择各种系统参数对于在它们之间取得良好的折衷至关重要。而且,它们还表明,基于LT编码的BLCS系统在前面提到的所有方面都优于传统的BLCS系统。

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