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Johannes Weinereb414682018-10-26 15:06:27 -07001================================
2PSI - Pressure Stall Information
3================================
4
5:Date: April, 2018
6:Author: Johannes Weiner <hannes@cmpxchg.org>
7
8When CPU, memory or IO devices are contended, workloads experience
9latency spikes, throughput losses, and run the risk of OOM kills.
10
11Without an accurate measure of such contention, users are forced to
12either play it safe and under-utilize their hardware resources, or
13roll the dice and frequently suffer the disruptions resulting from
14excessive overcommit.
15
16The psi feature identifies and quantifies the disruptions caused by
17such resource crunches and the time impact it has on complex workloads
18or even entire systems.
19
20Having an accurate measure of productivity losses caused by resource
21scarcity aids users in sizing workloads to hardware--or provisioning
22hardware according to workload demand.
23
24As psi aggregates this information in realtime, systems can be managed
25dynamically using techniques such as load shedding, migrating jobs to
26other systems or data centers, or strategically pausing or killing low
27priority or restartable batch jobs.
28
29This allows maximizing hardware utilization without sacrificing
30workload health or risking major disruptions such as OOM kills.
31
32Pressure interface
33==================
34
35Pressure information for each resource is exported through the
36respective file in /proc/pressure/ -- cpu, memory, and io.
37
38The format for CPU is as such:
39
40some avg10=0.00 avg60=0.00 avg300=0.00 total=0
41
42and for memory and IO:
43
44some avg10=0.00 avg60=0.00 avg300=0.00 total=0
45full avg10=0.00 avg60=0.00 avg300=0.00 total=0
46
47The "some" line indicates the share of time in which at least some
48tasks are stalled on a given resource.
49
50The "full" line indicates the share of time in which all non-idle
51tasks are stalled on a given resource simultaneously. In this state
52actual CPU cycles are going to waste, and a workload that spends
53extended time in this state is considered to be thrashing. This has
54severe impact on performance, and it's useful to distinguish this
55situation from a state where some tasks are stalled but the CPU is
56still doing productive work. As such, time spent in this subset of the
57stall state is tracked separately and exported in the "full" averages.
58
59The ratios are tracked as recent trends over ten, sixty, and three
60hundred second windows, which gives insight into short term events as
61well as medium and long term trends. The total absolute stall time is
62tracked and exported as well, to allow detection of latency spikes
63which wouldn't necessarily make a dent in the time averages, or to
64average trends over custom time frames.
Johannes Weiner2ce71352018-10-26 15:06:31 -070065
66Cgroup2 interface
67=================
68
69In a system with a CONFIG_CGROUP=y kernel and the cgroup2 filesystem
70mounted, pressure stall information is also tracked for tasks grouped
71into cgroups. Each subdirectory in the cgroupfs mountpoint contains
72cpu.pressure, memory.pressure, and io.pressure files; the format is
73the same as the /proc/pressure/ files.