Dynamic Instrumentation of Production Systems

By Bryan Cantrill, Michael W. Shapiro, Adam H. Leventhal. USENIX ATC, General Track, 2004

562 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Catch me if you can: performance bug detection in the wild (2011, methodology): “Existing dynamic profiling and tracing techniques such as DTrace [4] or BTrace [18] provide means to easily instrument running applications.”
Using Magpie for Request Extraction and Workload Modelling (2004, methodology): “A more sophisticatd instrumentation framework is Solaris DTrace [6], which allows arbitrary predicates and actions to be associated with instrumentation points.”
PlatPal: Detecting Malicious Documents with Platform Diversity (2017, methodology): “On Windows, the tracer is implemented based on NtTrace [41]; on Mac, the tracer is a Dscript utilizing the DTrace [9] mechanism available on BSD systems.”
Native Client: A Sandbox for Portable, Untrusted x86 Native Code (2009, methodology): “DTrace [11] incorporated a VM interpreter into the Solaris kernel for safe execution, and provided a set of kernel instrumentation points and output facilities analogous to Native Client’s safe side effects.”
Pin: building customized program analysis tools with dynamic instrumentation (2005, methodology): “Example probe-ba s d systems include Dyninst [7], Vulcan [29], and DTrace [9].”