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authorSeongJae Park <sj@kernel.org>2026-05-18 16:41:08 -0700
committerAndrew Morton <akpm@linux-foundation.org>2026-05-28 21:31:15 -0700
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parent0e8bf9544860f9b6c94978ee4cd7cb9421d1830e (diff)
downloadlinux-next-history-6beb2f1ba3278db5c83772b844740aad0ee520bd.tar.gz
Docs/mm/damon/design: document data attributes monitoring
Update DAMON design document for newly added data attributes monitoring feature. Link: https://lore.kernel.org/20260518234119.97569-21-sj@kernel.org Signed-off-by: SeongJae Park <sj@kernel.org> Cc: David Hildenbrand <david@kernel.org> Cc: Jonathan Corbet <corbet@lwn.net> Cc: Liam R. Howlett <liam@infradead.org> Cc: Lorenzo Stoakes <ljs@kernel.org> Cc: "Masami Hiramatsu (Google)" <mhiramat@kernel.org> Cc: Mathieu Desnoyers <mathieu.desnoyers@efficios.com> Cc: Michal Hocko <mhocko@suse.com> Cc: Mike Rapoport <rppt@kernel.org> Cc: Shuah Khan <shuah@kernel.org> Cc: Steven Rostedt <rostedt@goodmis.org> Cc: Suren Baghdasaryan <surenb@google.com> Cc: Vlastimil Babka <vbabka@kernel.org> Signed-off-by: Andrew Morton <akpm@linux-foundation.org>
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index fa7392b5a331d..6731c3102d0ff 100644
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@@ -276,6 +276,43 @@ interval``, DAMON checks if the region's size and access frequency
(``nr_accesses``) has significantly changed. If so, the counter is reset to
zero. Otherwise, the counter is increased.
+Data Attributes Monitoring
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Data access pattern is only one type of data attributes. In some use cases,
+users need to know more data attributes information. For example, users may
+need to know how much of a given hot or cold memory region is backed by
+anonymous pages, or belong to a specific cgroup. For such use case, data
+attributes monitoring feature is provided.
+
+Using the feature, users can register data attributes of their interest to the
+DAMON :ref:`context <damon_design_execution_model_and_data_structures>`. The
+registration is made by specifying a probe per attribute. Each of the probe
+specifies a rule to determine if a given memory region has the related
+attribute. The rule is constructed with multiple filters. The filters work
+same to :ref:`DAMOS filters <damon_design_damos_filters>` except the supported
+filter types. Currently only ``anon`` filter type is supported for data
+attributes monitoring.
+
+If such probes are registered, DAMON executes the probes for each region's
+sampling memory when it does the access :ref:`sampling
+<damon_design_region_based_sampling>`. The number of samples that identified
+as having the data attribute (hitting the probe) per :ref:`aggregation interval
+<damon_design_monitoring>` is accounted in a per-region per-probe counter.
+Users can therefore know how much of a given DAMON region has a specific data
+attribute by reading the per-region per-probe probe hits counter after each
+aggregation interval.
+
+This is a sampling based mechanism. Hence, it is lightweight but the output
+may include some measurement errors. The output should be used with good
+understanding of statistics.
+
+Another way to do this for higher accuracy is using :ref:`DAMOS filter
+<damon_design_damos_filters>` with ``stat`` :ref:`action
+<damon_design_damos_action>` and ``sz_ops_filter_passed`` :ref:`stat
+<damon_design_damos_stat>`. This approach provides the data attributes
+information in page level. But, because it is operated in page level, the
+overhead is proportional to the size of the memory.
Dynamic Target Space Updates Handling
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~