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This paper presents Arachne, a tool for runtime analysis of complex applications. While efficiency considerations have played an important role in the design of Arachne, it allows safe and runtime injection of probes inside the Linux kernel and user space applications on both function calls and variable access. It features an Aspect-Oriented language that allows to access context of execution and to compose primitive probes (for example sequence of function calls). They show how Arachne allows to easily analyzing problems such as race conditions which involves complex interactions between multiple processes. And finally, they show Arachne is fast enough to analyze high performance applications such as the Squid web cache.

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Format:PDFSize:86 KB
Date:Jan 2007
Pages:8

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