Approximating the Calling Context Tree Via Sampling

The calling context tree (CCT) is a data structure for recording
context-sensitive profiling information. The CCT can be expensive to
construct since it requires instrumenting all procedure entries and
exits. This paper presents an algorithm for constructing an
approximate CCT (ACCT) by performing periodic call-stack sampling.
Results from a preliminary implementation are reported validating the
accuracy of our technique.

By: Matthew Arnold, Peter Sweeney

Published in: RC21789 in 2000

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RC21789.pdf

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