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TS-Trees: A Non-Alterable Search Tree Index for Trustworthy Databases on Write-Once-Read-Many (WORM) Storage

机译:TS树:用于写入次读 - 众多(WORM)存储的可信数据库的不可改变的搜索树索引

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Trustworthy data processing, which ensures the credibility and irrefutability of data, is crucial in many business applications. Recently, the Write-Once-Read-Many (WORM) devices have been used as trustworthy data storage. Nevertheless, how to efficiently retrieve data stored in WORM devices has not been addressed sufficiently and thus remains a grand challenge for large trustworthy databases. In this paper, we describe a trustworthy search tree framework (called TS-tree), which is a simple yet effective non-alterable search tree index for trustworthy databases. It can take the role of B-trees in trustworthy databases to answer various queries including range queries. It is efficient and scalable on large databases. A systematic simulation verifies our design.
机译:值得信赖的数据处理,可确保数据的可信度和无与伦比,在许多业务应用中至关重要。最近,写入读取许多(WORM)设备已被用作可信数据存储。然而,如何有效地检索存储在蠕虫设备中的数据尚未得到充分解决,因此对大型值得信赖的数据库仍然是一个大挑战。在本文中,我们描述了一个值得信赖的搜索树框架(称为TS树),这是一个值得信赖的数据库的简单且有效的不可改进的搜索树索引。它可以采取B树在值得信赖的数据库中的作用,以回答包括范围查询的各种查询。它在大型数据库上是有效和可扩展的。系统仿真验证了我们的设计。

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