# Makefile for damon selftests
TEST_GEN_FILES += huge_count_read_write
+TEST_GEN_FILES += access_memory
TEST_FILES = _chk_dependency.sh _debugfs_common.sh
TEST_PROGS = debugfs_attrs.sh debugfs_schemes.sh debugfs_target_ids.sh
TEST_PROGS += debugfs_duplicate_context_creation.sh
TEST_PROGS += debugfs_rm_non_contexts.sh
TEST_PROGS += sysfs.sh sysfs_update_removed_scheme_dir.sh
+TEST_PROGS += sysfs_update_schemes_tried_regions_wss_estimation.py
TEST_PROGS += reclaim.sh lru_sort.sh
include ../lib.mk
--- /dev/null
+// SPDX-License-Identifier: GPL-2.0
+/*
+ * Artificial memory access program for testing DAMON.
+ */
+
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+#include <time.h>
+
+int main(int argc, char *argv[])
+{
+ char **regions;
+ clock_t start_clock;
+ int nr_regions;
+ int sz_region;
+ int access_time_ms;
+ int i;
+
+ if (argc != 4) {
+ printf("Usage: %s <number> <size (bytes)> <time (ms)>\n",
+ argv[0]);
+ return -1;
+ }
+
+ nr_regions = atoi(argv[1]);
+ sz_region = atoi(argv[2]);
+ access_time_ms = atoi(argv[3]);
+
+ regions = malloc(sizeof(*regions) * nr_regions);
+ for (i = 0; i < nr_regions; i++)
+ regions[i] = malloc(sz_region);
+
+ for (i = 0; i < nr_regions; i++) {
+ start_clock = clock();
+ while ((clock() - start_clock) * 1000 / CLOCKS_PER_SEC <
+ access_time_ms)
+ memset(regions[i], i, 1024 * 1024 * 10);
+ }
+ return 0;
+}
--- /dev/null
+#!/usr/bin/env python3
+# SPDX-License-Identifier: GPL-2.0
+
+import subprocess
+import time
+
+import _damon_sysfs
+
+def main():
+ # access two 10 MiB memory regions, 2 second per each
+ sz_region = 10 * 1024 * 1024
+ proc = subprocess.Popen(['./access_memory', '2', '%d' % sz_region, '2000'])
+ kdamonds = _damon_sysfs.Kdamonds([_damon_sysfs.Kdamond(
+ contexts=[_damon_sysfs.DamonCtx(
+ ops='vaddr',
+ targets=[_damon_sysfs.DamonTarget(pid=proc.pid)],
+ schemes=[_damon_sysfs.Damos(
+ access_pattern=_damon_sysfs.DamosAccessPattern(
+ # >= 25% access rate, >= 200ms age
+ nr_accesses=[5, 20], age=[2, 2**64 - 1]))] # schemes
+ )] # contexts
+ )]) # kdamonds
+
+ err = kdamonds.start()
+ if err != None:
+ print('kdmaond start failed: %s' % err)
+ exit(1)
+
+ wss_collected = []
+ while proc.poll() == None:
+ time.sleep(0.1)
+ err = kdamonds.kdamonds[0].update_schemes_tried_bytes()
+ if err != None:
+ print('tried bytes update failed: %s' % err)
+ exit(1)
+
+ wss_collected.append(
+ kdamonds.kdamonds[0].contexts[0].schemes[0].tried_bytes)
+
+ wss_collected.sort()
+ acceptable_error_rate = 0.2
+ for percentile in [50, 75]:
+ sample = wss_collected[int(len(wss_collected) * percentile / 100)]
+ error_rate = abs(sample - sz_region) / sz_region
+ print('%d-th percentile (%d) error %f' %
+ (percentile, sample, error_rate))
+ if error_rate > acceptable_error_rate:
+ print('the error rate is not acceptable (> %f)' %
+ acceptable_error_rate)
+ print('samples are as below')
+ print('\n'.join(['%d' % wss for wss in wss_collected]))
+ exit(1)
+
+if __name__ == '__main__':
+ main()