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A Data Preparation Approach for Cloud Storage Based on Containerized Parallel Patterns

机译:基于容器并行模式的云存储数据准备方法

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In this paper, we present the design, implementation, and evaluation of an efficient data preparation and retrieval approach for cloud storage. The approach includes a deduplication subsystem that indexes the hash of each content to identify duplicated data. As a consequence, avoiding duplicated content reduces reprocessing time during uploads and other costs related to outsource data management tasks. Our proposed data preparation scheme enables organizations to add properties such as security, reliability, and cost-efficiency to their contents before sending them to the cloud. It also creates recovery schemes for organizations to share preprocessed contents with partners and end-users. The approach also includes an engine that encapsulates preprocessing applications into virtual containers (VCs) to create parallel patterns that improve the efficiency of data preparation retrieval process. In a study case, real repositories of satellite images, and organizational files were prepared to be migrated to the cloud by using processes such as compression, encryption, encoding for fault tolerance, and access control. The experimental evaluation revealed the feasibility of using a data preparation approach for organizations to mitigate risks that still could arise in the cloud. It also revealed the efficiency of the deduplication process to reduce data preparation tasks and the efficacy of parallel patterns to improve the end-user service experience.
机译:在本文中,我们介绍了一种有效的云存储数据准备和检索方法的设计,实施和评估。该方法包括一个重复数据删除子系统,该子系统为每个内容的哈希索引,以标识重复的数据。因此,避免重复的内容会减少上载期间的重新处理时间以及与外包数据管理任务相关的其他成本。我们提出的数据准备方案使组织能够在将内容发送到云之前为其内容添加安全性,可靠性和成本效率等属性。它还为组织创建了恢复计划,以便与合作伙伴和最终用户共享预处理的内容。该方法还包括一个引擎,该引擎将预处理应用程序封装到虚拟容器(VC)中,以创建并行模式,从而提高数据准备检索过程的效率。在一个研究案例中,准备使用诸如压缩,加密,容错编码和访问控制等过程将卫星图像的真实存储库和组织文件迁移到云中。实验评估揭示了使用数据准备方法使组织减轻云中仍然可能出现的风险的可行性。它还显示了重复数据删除过程减少了数据准备任务的效率,以及并行模式改善了最终用户服务体验的效率。

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