用于自我管理系统的软件动态翻译器中的仪表

Naveen Kumar, Jonathan Misurda, B. Childers, M. Soffa
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引用次数: 20

摘要

自我管理的软件需要对正在执行的程序进行监视和代码更改。支持这种自我管理的一种技术是软件动态转换(SDT),它允许一个程序的执行被一个单独的软件层拦截和控制。SDT已被用于构建许多有用的应用程序,包括用于检查代码漏洞的软件安全检查器、动态代码优化器和程序自省工具。虽然这些系统使用程序插装,但插装通常针对特定的应用程序和基础结构进行定制。缺少的是可以在不同的自管理SDT基础设施中使用的单一可扩展且灵活的工具框架。在本文中,我们描述了这样一个框架,称为“FIST”,它可以被不同的算法和工具使用和定位,以实现跨sdt和机器平台可移植的仪器应用程序。我们的接口支持从源级构造到指令和机器级的多个粒度级别。我们描述并评估了拳头在面向SPARC的Strata系统和基于Intel x86的面向Java的Jikes Research虚拟机中的性能。
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Instrumentation in software dynamic translators for self-managed systems
Self-managed software requires monitoring and code changes to an executing program. One technology that enables such self management is software dynamic translation (SDT), which allows a program's execution to be intercepted and controlled by a separate software layer. SDT has been used to build many useful applications, including software security checkers that check for code vulnerabilities, dynamic code optimizers, and program introspection tools. While these systems use program instrumentation, the instrumentation is usually tailored to a specific application and infrastructure. What is missing is a single scalable and flexible instrumentation framework that can be used in different self-managed SDT infrastructures. In this paper, we describe such a framework, called "FIST," that can be used and targeted by different algorithms and tools to enable instrumentation applications that are portable across SDTs and machine platforms. Our interface supports multiple levels of granularity from source level constructs to the instruction and machine level. We describe and evaluate FIST's capabilities in the Strata system for the SPARC and the Jikes Research Virtual Machine for Java on the Intel x86.
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