云数据库系统中传输层安全对性能影响的基准测试

Steffen Müller, David Bermbach, S. Tai, Frank Pallas
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引用次数: 31

摘要

云存储服务和 NoSQL 系统针对性能和可用性进行了优化。因此,像安全机制这样的企业级功能通常会被忽视,尽管随着企业越来越多地采用云技术,对这些功能也有需求。通常只支持传输层安全(TLS)。此外,标准传输层安全(TLS)协议提供了许多配置选项,而这些选项的选择通常纯属偶然。我们认为,在云数据库系统中,应根据易受攻击和安全威胁的程度以及相应算法的性能开销来选择配置选项。我们的贡献在于提供了一种用于透明分析各种 TLS 配置选项对性能影响的基准测试方法,以及一种可对所选配置选项进行更精细控制的定制 TLS 套接字实现。我们还使用基准测试方法研究了亚马逊 DynamoDB 和 Apache Cassandra 中 TLS 对性能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Benchmarking the Performance Impact of Transport Layer Security in Cloud Database Systems
Cloud storage services and NoSQL systems are optimized for performance and availability. Hence, enterprise-grade features like security mechanisms are typically neglected even though there is a need for them with increased cloud adoption by enterprises. Only Transport Layer Security (TLS) is frequently supported. Furthermore, the standard Transport Layer Security (TLS) protocol offers many configuration options which are usually chosen purely based on chance. We argue that in cloud database systems, configuration options should be chosen based on the degree of vulnerability to attacks and security threats as well as on the performance overhead of the respective algorithms. Our contributions are a benchmarking approach for transparent analysis of the performance impact of various TLS configuration options and a custom TLS socket implementation which offers more fine-grained control over the configuration options chosen. We also use our benchmarking approach to study the performance impact of TLS in Amazon DynamoDB and Apache Cassandra.
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