Towards deployment-time dynamic analysis of server applications

Luís Pina, Cristian Cadar
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引用次数: 1

Abstract

Bug-finding tools based on dynamic analysis (DA), such as Valgrind or the compiler sanitizers provided by Clang and GCC, have become ubiquitous during software development. These analyses are precise but incur a large performance overhead (often several times slower than native execution), which makes them prohibitively expensive to use in production. In this work, we investigate the exciting possibility of deploying such dynamic analyses in production code, using a multi-version execution approach.
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面向服务器应用程序的部署时动态分析
基于动态分析(DA)的bug查找工具,如Valgrind或Clang和GCC提供的编译器杀毒器,在软件开发过程中已经变得无处不在。这些分析是精确的,但会产生很大的性能开销(通常比本机执行慢几倍),这使得它们在生产中使用的成本非常高。在这项工作中,我们研究了使用多版本执行方法在生产代码中部署这种动态分析的令人兴奋的可能性。
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