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Namjae Jeon2792d872012-08-09 15:27:29 +02001CFQ (Complete Fairness Queueing)
2===============================
3
4The main aim of CFQ scheduler is to provide a fair allocation of the disk
5I/O bandwidth for all the processes which requests an I/O operation.
6
7CFQ maintains the per process queue for the processes which request I/O
Namjae Jeonfdc6fdc2013-04-09 14:57:06 +02008operation(synchronous requests). In case of asynchronous requests, all the
Namjae Jeon2792d872012-08-09 15:27:29 +02009requests from all the processes are batched together according to their
10process's I/O priority.
11
Vivek Goyal6d6ac1c2010-08-23 12:25:29 +020012CFQ ioscheduler tunables
13========================
14
15slice_idle
16----------
17This specifies how long CFQ should idle for next request on certain cfq queues
18(for sequential workloads) and service trees (for random workloads) before
19queue is expired and CFQ selects next queue to dispatch from.
20
21By default slice_idle is a non-zero value. That means by default we idle on
22queues/service trees. This can be very helpful on highly seeky media like
23single spindle SATA/SAS disks where we can cut down on overall number of
24seeks and see improved throughput.
25
26Setting slice_idle to 0 will remove all the idling on queues/service tree
27level and one should see an overall improved throughput on faster storage
28devices like multiple SATA/SAS disks in hardware RAID configuration. The down
29side is that isolation provided from WRITES also goes down and notion of
30IO priority becomes weaker.
31
32So depending on storage and workload, it might be useful to set slice_idle=0.
33In general I think for SATA/SAS disks and software RAID of SATA/SAS disks
34keeping slice_idle enabled should be useful. For any configurations where
35there are multiple spindles behind single LUN (Host based hardware RAID
36controller or for storage arrays), setting slice_idle=0 might end up in better
37throughput and acceptable latencies.
38
Namjae Jeon2792d872012-08-09 15:27:29 +020039back_seek_max
40-------------
41This specifies, given in Kbytes, the maximum "distance" for backward seeking.
42The distance is the amount of space from the current head location to the
43sectors that are backward in terms of distance.
44
45This parameter allows the scheduler to anticipate requests in the "backward"
46direction and consider them as being the "next" if they are within this
47distance from the current head location.
48
49back_seek_penalty
50-----------------
51This parameter is used to compute the cost of backward seeking. If the
52backward distance of request is just 1/back_seek_penalty from a "front"
53request, then the seeking cost of two requests is considered equivalent.
54
55So scheduler will not bias toward one or the other request (otherwise scheduler
56will bias toward front request). Default value of back_seek_penalty is 2.
57
58fifo_expire_async
59-----------------
60This parameter is used to set the timeout of asynchronous requests. Default
61value of this is 248ms.
62
63fifo_expire_sync
64----------------
65This parameter is used to set the timeout of synchronous requests. Default
66value of this is 124ms. In case to favor synchronous requests over asynchronous
67one, this value should be decreased relative to fifo_expire_async.
68
Namjae Jeonfdc6fdc2013-04-09 14:57:06 +020069group_idle
70-----------
71This parameter forces idling at the CFQ group level instead of CFQ
Masanari Iidac9f3f2d2013-07-18 01:29:12 +090072queue level. This was introduced after a bottleneck was observed
Namjae Jeonfdc6fdc2013-04-09 14:57:06 +020073in higher end storage due to idle on sequential queue and allow dispatch
74from a single queue. The idea with this parameter is that it can be run with
75slice_idle=0 and group_idle=8, so that idling does not happen on individual
76queues in the group but happens overall on the group and thus still keeps the
77IO controller working.
78Not idling on individual queues in the group will dispatch requests from
79multiple queues in the group at the same time and achieve higher throughput
80on higher end storage.
81
82Default value for this parameter is 8ms.
83
84latency
85-------
86This parameter is used to enable/disable the latency mode of the CFQ
87scheduler. If latency mode (called low_latency) is enabled, CFQ tries
88to recompute the slice time for each process based on the target_latency set
89for the system. This favors fairness over throughput. Disabling low
90latency (setting it to 0) ignores target latency, allowing each process in the
91system to get a full time slice.
92
93By default low latency mode is enabled.
94
95target_latency
96--------------
97This parameter is used to calculate the time slice for a process if cfq's
98latency mode is enabled. It will ensure that sync requests have an estimated
99latency. But if sequential workload is higher(e.g. sequential read),
100then to meet the latency constraints, throughput may decrease because of less
101time for each process to issue I/O request before the cfq queue is switched.
102
103Though this can be overcome by disabling the latency_mode, it may increase
104the read latency for some applications. This parameter allows for changing
105target_latency through the sysfs interface which can provide the balanced
106throughput and read latency.
107
108Default value for target_latency is 300ms.
109
Namjae Jeon2792d872012-08-09 15:27:29 +0200110slice_async
111-----------
112This parameter is same as of slice_sync but for asynchronous queue. The
113default value is 40ms.
114
115slice_async_rq
116--------------
117This parameter is used to limit the dispatching of asynchronous request to
118device request queue in queue's slice time. The maximum number of request that
119are allowed to be dispatched also depends upon the io priority. Default value
120for this is 2.
121
122slice_sync
123----------
124When a queue is selected for execution, the queues IO requests are only
125executed for a certain amount of time(time_slice) before switching to another
126queue. This parameter is used to calculate the time slice of synchronous
127queue.
128
129time_slice is computed using the below equation:-
130time_slice = slice_sync + (slice_sync/5 * (4 - prio)). To increase the
131time_slice of synchronous queue, increase the value of slice_sync. Default
132value is 100ms.
133
134quantum
135-------
136This specifies the number of request dispatched to the device queue. In a
137queue's time slice, a request will not be dispatched if the number of request
138in the device exceeds this parameter. This parameter is used for synchronous
139request.
140
141In case of storage with several disk, this setting can limit the parallel
Namjae Jeonfdc6fdc2013-04-09 14:57:06 +0200142processing of request. Therefore, increasing the value can improve the
143performance although this can cause the latency of some I/O to increase due
Namjae Jeon2792d872012-08-09 15:27:29 +0200144to more number of requests.
145
Tejun Heod02f7aa2013-01-09 08:05:11 -0800146CFQ Group scheduling
147====================
148
149CFQ supports blkio cgroup and has "blkio." prefixed files in each
150blkio cgroup directory. It is weight-based and there are four knobs
151for configuration - weight[_device] and leaf_weight[_device].
152Internal cgroup nodes (the ones with children) can also have tasks in
153them, so the former two configure how much proportion the cgroup as a
154whole is entitled to at its parent's level while the latter two
155configure how much proportion the tasks in the cgroup have compared to
156its direct children.
157
158Another way to think about it is assuming that each internal node has
159an implicit leaf child node which hosts all the tasks whose weight is
160configured by leaf_weight[_device]. Let's assume a blkio hierarchy
161composed of five cgroups - root, A, B, AA and AB - with the following
162weights where the names represent the hierarchy.
163
164 weight leaf_weight
165 root : 125 125
166 A : 500 750
167 B : 250 500
168 AA : 500 500
169 AB : 1000 500
170
171root never has a parent making its weight is meaningless. For backward
172compatibility, weight is always kept in sync with leaf_weight. B, AA
173and AB have no child and thus its tasks have no children cgroup to
174compete with. They always get 100% of what the cgroup won at the
175parent level. Considering only the weights which matter, the hierarchy
176looks like the following.
177
178 root
179 / | \
180 A B leaf
181 500 250 125
182 / | \
183 AA AB leaf
184 500 1000 750
185
186If all cgroups have active IOs and competing with each other, disk
187time will be distributed like the following.
188
189Distribution below root. The total active weight at this level is
190A:500 + B:250 + C:125 = 875.
191
192 root-leaf : 125 / 875 =~ 14%
193 A : 500 / 875 =~ 57%
194 B(-leaf) : 250 / 875 =~ 28%
195
196A has children and further distributes its 57% among the children and
197the implicit leaf node. The total active weight at this level is
198AA:500 + AB:1000 + A-leaf:750 = 2250.
199
200 A-leaf : ( 750 / 2250) * A =~ 19%
201 AA(-leaf) : ( 500 / 2250) * A =~ 12%
202 AB(-leaf) : (1000 / 2250) * A =~ 25%
203
Vivek Goyal6d6ac1c2010-08-23 12:25:29 +0200204CFQ IOPS Mode for group scheduling
205===================================
206Basic CFQ design is to provide priority based time slices. Higher priority
207process gets bigger time slice and lower priority process gets smaller time
208slice. Measuring time becomes harder if storage is fast and supports NCQ and
209it would be better to dispatch multiple requests from multiple cfq queues in
210request queue at a time. In such scenario, it is not possible to measure time
211consumed by single queue accurately.
212
213What is possible though is to measure number of requests dispatched from a
214single queue and also allow dispatch from multiple cfq queue at the same time.
215This effectively becomes the fairness in terms of IOPS (IO operations per
216second).
217
218If one sets slice_idle=0 and if storage supports NCQ, CFQ internally switches
219to IOPS mode and starts providing fairness in terms of number of requests
220dispatched. Note that this mode switching takes effect only for group
221scheduling. For non-cgroup users nothing should change.
Vivek Goyal49314022011-08-05 09:42:20 +0200222
223CFQ IO scheduler Idling Theory
224===============================
225Idling on a queue is primarily about waiting for the next request to come
226on same queue after completion of a request. In this process CFQ will not
227dispatch requests from other cfq queues even if requests are pending there.
228
229The rationale behind idling is that it can cut down on number of seeks
230on rotational media. For example, if a process is doing dependent
231sequential reads (next read will come on only after completion of previous
232one), then not dispatching request from other queue should help as we
233did not move the disk head and kept on dispatching sequential IO from
234one queue.
235
236CFQ has following service trees and various queues are put on these trees.
237
238 sync-idle sync-noidle async
239
240All cfq queues doing synchronous sequential IO go on to sync-idle tree.
241On this tree we idle on each queue individually.
242
243All synchronous non-sequential queues go on sync-noidle tree. Also any
244request which are marked with REQ_NOIDLE go on this service tree. On this
245tree we do not idle on individual queues instead idle on the whole group
246of queues or the tree. So if there are 4 queues waiting for IO to dispatch
247we will idle only once last queue has dispatched the IO and there is
248no more IO on this service tree.
249
250All async writes go on async service tree. There is no idling on async
251queues.
252
253CFQ has some optimizations for SSDs and if it detects a non-rotational
254media which can support higher queue depth (multiple requests at in
255flight at a time), then it cuts down on idling of individual queues and
256all the queues move to sync-noidle tree and only tree idle remains. This
257tree idling provides isolation with buffered write queues on async tree.
258
259FAQ
260===
261Q1. Why to idle at all on queues marked with REQ_NOIDLE.
262
263A1. We only do tree idle (all queues on sync-noidle tree) on queues marked
264 with REQ_NOIDLE. This helps in providing isolation with all the sync-idle
265 queues. Otherwise in presence of many sequential readers, other
266 synchronous IO might not get fair share of disk.
267
268 For example, if there are 10 sequential readers doing IO and they get
269 100ms each. If a REQ_NOIDLE request comes in, it will be scheduled
270 roughly after 1 second. If after completion of REQ_NOIDLE request we
271 do not idle, and after a couple of milli seconds a another REQ_NOIDLE
272 request comes in, again it will be scheduled after 1second. Repeat it
273 and notice how a workload can lose its disk share and suffer due to
274 multiple sequential readers.
275
276 fsync can generate dependent IO where bunch of data is written in the
277 context of fsync, and later some journaling data is written. Journaling
278 data comes in only after fsync has finished its IO (atleast for ext4
279 that seemed to be the case). Now if one decides not to idle on fsync
280 thread due to REQ_NOIDLE, then next journaling write will not get
281 scheduled for another second. A process doing small fsync, will suffer
282 badly in presence of multiple sequential readers.
283
284 Hence doing tree idling on threads using REQ_NOIDLE flag on requests
285 provides isolation from multiple sequential readers and at the same
286 time we do not idle on individual threads.
287
288Q2. When to specify REQ_NOIDLE
289A2. I would think whenever one is doing synchronous write and not expecting
290 more writes to be dispatched from same context soon, should be able
291 to specify REQ_NOIDLE on writes and that probably should work well for
292 most of the cases.