AuxXxilium/linux_dsm_epyc7002
1
0
Fork 0
mirror of https://github.com/AuxXxilium/linux_dsm_epyc7002.git synced 2024-11-24 04:20:53 +07:00
Code Issues Actions Packages Projects Releases Wiki Activity

block: make iolatency avg_lat exponentially decay

Browse Source 
Currently, avg_lat is calculated by accumulating the mean of every
window in a long running cumulative average. As time goes on, the metric
becomes less and less useful due to the accumulated history.

This patch reuses the same calculation done in load averages to make the
avg_lat metric more lively. Unlike load averages, the avg only advances
when a window elapses (due to an io). Idle periods extend the most
recent window. Bucketing is used to limit the history of avg_lat by
binding it to the window size. So, the window range for 1/exp (decay
rate) is [1 min, 2.5 min) when windows elapse immediately.

The current sample window size is exposed in the debug info to enable
calculation of the window range.

Signed-off-by: Dennis Zhou <dennisszhou@gmail.com>
Acked-by: Tejun Heo <tj@kernel.org>
Acked-by: Johannes Weiner <hannes@cmpxchg.org>
Acked-by: Josef Bacik <josef@toxicpanda.com>
Signed-off-by: Jens Axboe <axboe@kernel.dk>
This commit is contained in:
Dennis Zhou (Facebook) 2018-08-01 23:15:41 -07:00 committed by Jens Axboe
parent 2c323017e3
commit c480bcf97b
2 changed files with 57 additions and 24 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

21
Documentation/admin-guide/cgroup-v2.rst
View File

@ -1474,11 +1474,9 @@ So the ideal way to configure this is to set io.latency in groups A, B, and C.
Generally you do not want to set a value lower than the latency your device
supports. Experiment to find the value that works best for your workload.
Start at higher than the expected latency for your device and watch the
total_lat_avg value in io.stat for your workload group to get an idea of the
latency you see during normal operation. Use this value as a basis for your
real setting, setting at 10-15% higher than the value in io.stat.
Experimentation is key here because total_lat_avg is a running total, so is the
"statistics" portion of "lies, damned lies, and statistics."
avg_lat value in io.stat for your workload group to get an idea of the
latency you see during normal operation. Use the avg_lat value as a basis for
your real setting, setting at 10-15% higher than the value in io.stat.
How IO Latency Throttling Works
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@ -1522,10 +1520,15 @@ IO Latency Interface Files
This is the current queue depth for the group.
avg_lat
The running average IO latency for this group in microseconds.
Running average is generally flawed, but will give an
administrator a general idea of the overall latency they can
expect for their workload on the given disk.
This is an exponential moving average with a decay rate of 1/exp
bound by the sampling interval. The decay rate interval can be
calculated by multiplying the win value in io.stat by the
corresponding number of samples based on the win value.
win
The sampling window size in milliseconds. This is the minimum
duration of time between evaluation events. Windows only elapse
with IO activity. Idle periods extend the most recent window.
PID
---

60
block/blk-iolatency.c
View File

@ -69,6 +69,7 @@
#include <linux/module.h>
#include <linux/timer.h>
#include <linux/memcontrol.h>
#include <linux/sched/loadavg.h>
#include <linux/sched/signal.h>
#include <trace/events/block.h>
#include "blk-rq-qos.h"
@ -126,8 +127,7 @@ struct iolatency_grp {
u64 cur_win_nsec;
/* total running average of our io latency. */
u64 total_lat_avg;
u64 total_lat_nr;
u64 lat_avg;
/* Our current number of IO's for the last summation. */
u64 nr_samples;
@ -135,6 +135,28 @@ struct iolatency_grp {
struct child_latency_info child_lat;
};
#define BLKIOLATENCY_MIN_WIN_SIZE (100 * NSEC_PER_MSEC)
#define BLKIOLATENCY_MAX_WIN_SIZE NSEC_PER_SEC
/*
* These are the constants used to fake the fixed-point moving average
* calculation just like load average. The call to CALC_LOAD folds
* (FIXED_1 (2048) - exp_factor) * new_sample into lat_avg. The sampling
* window size is bucketed to try to approximately calculate average
* latency such that 1/exp (decay rate) is [1 min, 2.5 min) when windows
* elapse immediately. Note, windows only elapse with IO activity. Idle
* periods extend the most recent window.
*/
#define BLKIOLATENCY_NR_EXP_FACTORS 5
#define BLKIOLATENCY_EXP_BUCKET_SIZE (BLKIOLATENCY_MAX_WIN_SIZE / \
(BLKIOLATENCY_NR_EXP_FACTORS - 1))
static const u64 iolatency_exp_factors[BLKIOLATENCY_NR_EXP_FACTORS] = {
2045, // exp(1/600) - 600 samples
2039, // exp(1/240) - 240 samples
2031, // exp(1/120) - 120 samples
2023, // exp(1/80) - 80 samples
2014, // exp(1/60) - 60 samples
};
static inline struct iolatency_grp *pd_to_lat(struct blkg_policy_data *pd)
{
return pd ? container_of(pd, struct iolatency_grp, pd) : NULL;
@ -462,7 +484,7 @@ static void iolatency_check_latencies(struct iolatency_grp *iolat, u64 now)
struct child_latency_info *lat_info;
struct blk_rq_stat stat;
unsigned long flags;
int cpu;
int cpu, exp_idx;
blk_rq_stat_init(&stat);
preempt_disable();
@ -480,11 +502,17 @@ static void iolatency_check_latencies(struct iolatency_grp *iolat, u64 now)
lat_info = &parent->child_lat;
iolat->total_lat_avg =
div64_u64((iolat->total_lat_avg * iolat->total_lat_nr) +
stat.mean, iolat->total_lat_nr + 1);
iolat->total_lat_nr++;
/*
* CALC_LOAD takes in a number stored in fixed point representation.
* Because we are using this for IO time in ns, the values stored
* are significantly larger than the FIXED_1 denominator (2048).
* Therefore, rounding errors in the calculation are negligible and
* can be ignored.
*/
exp_idx = min_t(int, BLKIOLATENCY_NR_EXP_FACTORS - 1,
div64_u64(iolat->cur_win_nsec,
BLKIOLATENCY_EXP_BUCKET_SIZE));
CALC_LOAD(iolat->lat_avg, iolatency_exp_factors[exp_idx], stat.mean);
/* Everything is ok and we don't need to adjust the scale. */
if (stat.mean <= iolat->min_lat_nsec &&
@ -700,8 +728,9 @@ static void iolatency_set_min_lat_nsec(struct blkcg_gq *blkg, u64 val)
u64 oldval = iolat->min_lat_nsec;
iolat->min_lat_nsec = val;
iolat->cur_win_nsec = max_t(u64, val << 4, 100 * NSEC_PER_MSEC);
iolat->cur_win_nsec = min_t(u64, iolat->cur_win_nsec, NSEC_PER_SEC);
iolat->cur_win_nsec = max_t(u64, val << 4, BLKIOLATENCY_MIN_WIN_SIZE);
iolat->cur_win_nsec = min_t(u64, iolat->cur_win_nsec,
BLKIOLATENCY_MAX_WIN_SIZE);
if (!oldval && val)
atomic_inc(&blkiolat->enabled);
@ -810,14 +839,15 @@ static size_t iolatency_pd_stat(struct blkg_policy_data *pd, char *buf,
size_t size)
{
struct iolatency_grp *iolat = pd_to_lat(pd);
unsigned long long avg_lat = div64_u64(iolat->total_lat_avg, NSEC_PER_USEC);
unsigned long long avg_lat = div64_u64(iolat->lat_avg, NSEC_PER_USEC);
unsigned long long cur_win = div64_u64(iolat->cur_win_nsec, NSEC_PER_MSEC);
if (iolat->rq_depth.max_depth == UINT_MAX)
return scnprintf(buf, size, " depth=max avg_lat=%llu",
avg_lat);
return scnprintf(buf, size, " depth=max avg_lat=%llu win=%llu",
avg_lat, cur_win);
return scnprintf(buf, size, " depth=%u avg_lat=%llu",
iolat->rq_depth.max_depth, avg_lat);
return scnprintf(buf, size, " depth=%u avg_lat=%llu win=%llu",
iolat->rq_depth.max_depth, avg_lat, cur_win);
}