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DAC: Improving storage availability with Deduplication-Assisted Cloud-of-Clouds

机译:DAC:使用重复数据删除辅助云计算提高存储可用性

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With the increasing popularity and rapid development of the cloud storage technology, more and more users are beginning to upload their data to the cloud storage platform. However, solely depending on a particular cloud storage provider has a number of potentially serious problems, such as vendor lock-in, availability and security. To address these problems, we propose a Deduplication-Assisted primary storage system in Cloud-of-Clouds (short for DAC) in this paper. DAC eliminates the redundant data blocks in the cloud computing environment and distributes the data among multiple independent cloud storage providers by exploiting the data reference characteristics. In DAC, the data blocks are stored in multiple cloud storage providers by combing the replication and erasure code schemes. To better utilize the advantages of both replication and erasure code schemes and exploit the reference characteristics in data deduplication, the high referenced data blocks are stored with the replication scheme while the other data blocks are stored with the erasure code scheme. The experiments conducted on our lightweight prototype implementation show that DAC improves the performance and cost efficiency significantly, compared with the existing schemes.
机译:随着云存储技术的日益普及和快速发展,越来越多的用户开始将其数据上传到云存储平台。但是,仅依赖于特定的云存储提供商会带来许多潜在的严重问题,例如供应商锁定,可用性和安全性。为了解决这些问题,我们在本文中提出了一种云中的重复数据删除辅助主存储系统(DAC的缩写)。 DAC消除了云计算环境中的冗余数据块,并通过利用数据参考特性在多个独立的云存储提供商之间分配数据。在DAC中,通过组合复制和擦除代码方案,数据块存储在多个云存储提供程序中。为了更好地利用复制和擦除代码方案的优点,并利用重复数据删除中的参考特性,将高参考数据块与复制方案一起存储,而其他数据块与擦除代码方案一起存储。在我们的轻量级原型实现上进行的实验表明,与现有方案相比,DAC显着提高了性能和成本效率。

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