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Leveraging NoSQL for scalable and dynamic data encryption in multi-tenant SaaS

机译:利用NoSQL在多租户SaaS中进行可扩展的动态数据加密

摘要

In the context of multi-tenant SaaS applications, data confidentiality support is increasingly being offered from within the application layer instead of the database layer or the storage layer to accommodate continuously changing requirements of multiple tenants. Application-level data management middleware platforms are becoming increasingly compelling for dealing with the complexity of a multi-cloud or a federated cloud storage architecture as well as multi-tenant SaaS applications. However, these platforms typically support traditional data mapping strategies that are created under the assumption of a fixed and rigorous database schema. Thus, mapping data objects while supporting varying data confidentiality requirements, therefore, leads to fragmentation of data over distributed storage nodes. This introduces significant performance overhead at the level of individual database transactions (e.g., CRUD transactions) and negatively affects the overall scalability. To address these challenges, we present a dedicated data mapping strategy that leverages the data schema flexibility of columnar NoSQL databases to accomplish dynamic and fine-grained data encryption in a more efficient and scalable manner.We validate these solutions in the context of an industrial multi-tenant SaaS application and conduct a comprehensive performance evaluation. The results confirm that the proposed data mapping strategy indeed yields scalability and performance improvements.
机译:在多租户SaaS应用程序的上下文中,越来越多地从应用程序层而不是数据库层或存储层提供数据机密性支持,以适应多个租户的不断变化的需求。应用程序级数据管理中间件平台在处理多云或联合云存储架构以及多租户SaaS应用程序的复杂性方面变得越来越引人注目。但是,这些平台通常支持传统的数据映射策略,这些策略是在固定且严格的数据库架构的假设下创建的。因此,在支持变化的数据机密性要求的同时映射数据对象导致分布式存储节点上的数据碎片化。这在单个数据库事务(例如CRUD事务)级别上引入了显着的性能开销,并对总体可伸缩性产生了负面影响。为了解决这些挑战,我们提出了一种专用的数据映射策略,该策略利用列式NoSQL数据库的数据模式灵活性来以更有效和可扩展的方式完成动态和细粒度的数据加密。租户SaaS应用程序并进行全面的性能评估。结果证实,提出的数据映射策略确实可实现可伸缩性和性能改进。

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