Updated commands per feedback
Signed-off-by: Amy Reyes <amy.reyes@intel.com>
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@ -93,17 +93,11 @@ Here's a typical use of ``acrntrace`` to capture trace data from the Service VM,
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convert the binary data to human-readable form, copy the processed trace
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data to your development computer (Linux system), and run the analysis tool.
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1. On the Service VM, clear buffers before starting a trace:
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1. On the Service VM, start capturing buffered trace data:
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.. code-block:: none
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# acrntrace -c
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#. Start capturing buffered trace data:
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.. code-block:: none
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# acrntrace
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sudo acrntrace
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Trace files are created under the current directory where you launched
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``acrntrace``, with a date-time-based directory name such as
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@ -119,7 +113,7 @@ data to your development computer (Linux system), and run the analysis tool.
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.. code-block:: none
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# acrntrace_format.py formats trace_data
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sudo acrntrace_format.py formats trace_data
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Trace data will be converted to human-readable format based on a given format
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and printed to stdout.
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@ -130,7 +124,7 @@ data to your development computer (Linux system), and run the analysis tool.
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.. code-block:: none
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# scp -r ./acrntrace/20171115-101605/ \
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sudo scp -r ./acrntrace/20171115-101605/ \
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username@hostname:/home/username/trace_data
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Replace username and hostname with appropriate values.
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@ -140,7 +134,7 @@ data to your development computer (Linux system), and run the analysis tool.
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.. code-block:: none
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# acrnalyze.py -i /home/xxxx/trace_data/20171115-101605/0 \
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sudo acrnalyze.py -i /home/xxxx/trace_data/20171115-101605/0 \
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-o /home/xxxx/trace_data/20171115-101605/cpu0 --vm_exit --irq
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- The analysis report is written to stdout, or to a CSV file if
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@ -155,8 +149,8 @@ directory. To build and install ``acrntrace``, run these commands:
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.. code-block:: none
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# make
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# make install
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make
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sudo make install
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The processing scripts are in ``misc/debug_tools/acrn_trace/scripts``. The
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``acrnalyze.py`` tool needs to be copied to and run on your development
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