Byzantine Fault-Tolerant Architecture in Cloud Data Management

M. Alzain, Alice S. Li, B. Soh, Mehedi Masud
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引用次数: 9

Abstract

One of the main challenges in cloud computing is to build a healthy and efficient storage for securely managing and preserving data. This means a cloud service provider needs to make sure that its clients' outsourced data are stored securely and, data queries and retrievals are executed correctly and privately. On the other hand, it may also mean businesses are willing to outsource their data to a third party only if they trust their data are not accessible and visible to the service provider and other non-authorized parties. However, one of the major obstacles faced here for ensuring data reliability and security is Byzantine faults. While Byzantine fault tolerance (BFT) has received growing attention from the academic research community, the research done is generally from the distributed computing point of view, and hence finds little practical use in cloud computing. To that end, the focus of this paper is to discuss how these faults can be tolerated with the authors' proposed conceptualization of Byzantine data faults and fault-tolerant architecture in cloud data management.
云数据管理中的拜占庭式容错架构
云计算的主要挑战之一是为安全管理和保存数据构建健康高效的存储。这意味着云服务提供商需要确保其客户的外包数据得到安全存储,数据查询和检索得到正确且私密的执行。另一方面,这也可能意味着企业只有在相信自己的数据对服务提供商和其他未授权方无法访问和可见的情况下,才愿意将数据外包给第三方。然而,在确保数据可靠性和安全性方面面临的主要障碍之一是拜占庭故障。虽然拜占庭容错(BFT)受到学术研究界越来越多的关注,但所做的研究通常是从分布式计算的角度进行的,因此在云计算中很少有实际应用。为此,本文的重点是讨论如何通过作者提出的拜占庭数据错误和云数据管理中的容错架构的概念来容忍这些错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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