SecureStreams:用于安全数据流处理的响应式中间件框架

Aurélien Havet, Rafael Pires, P. Felber, Marcelo Pasin, Romain Rouvoy, V. Schiavoni
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引用次数: 30

摘要

分布式数据处理框架在各种应用程序领域的日益普及,对安全性等属性的端到端集成提出了挑战,特别是在考虑大规模集群或多租户云基础设施环境中的部署时。因此,本文介绍了SecureStreams,这是一个响应式中间件框架,用于大规模部署和处理安全流。它的设计结合了高层次的反应数据流编程范式与英特尔®的低级软件保护扩展(SGX),以保证隐私和完整性的处理数据。SecureStreams的实验结果很有希望:在提供基于Lua的流畅脚本语言的同时,我们的中间件提供了高处理吞吐量,从而使开发人员能够在几行代码中实现安全的处理管道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SecureStreams: A Reactive Middleware Framework for Secure Data Stream Processing
The growing adoption of distributed data processing frameworks in a wide diversity of application domains challenges end-to-end integration of properties like security, in particular when considering deployments in the context of large-scale clusters or multi-tenant Cloud infrastructures. This paper therefore introduces SecureStreams, a reactive middleware framework to deploy and process secure streams at scale. Its design combines the high-level reactive dataflow programming paradigm with Intel®'s low-level software guard extensions (SGX) in order to guarantee privacy and integrity of the processed data. The experimental results of SecureStreams are promising: while offering a fluent scripting language based on Lua, our middleware delivers high processing throughput, thus enabling developers to implement secure processing pipelines in just few lines of code.
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