[lkml]   [2009]   [Sep]   [24]   [last100]   RSS Feed
Views: [wrap][no wrap]   [headers]  [forward] 
Messages in this thread
SubjectIO scheduler based IO controller V10

Hi All,

Here is the V10 of the IO controller patches generated on top of 2.6.31.

For ease of patching, a consolidated patch is available here.

Changes from V9
- Brought back the mechanism of idle trees (cache of recently served io
queues). BFQ had originally implemented it and I had got rid of it. Later
I realized that it helps providing fairness when io queue and io groups are
running at same level. Hence brought the mechanism back.

This cache helps in determining whether a task getting back into tree
is a streaming reader who just consumed full slice legth or a new process
(if not in cache) or a random reader who just got a small slice lenth and
now got backlogged again.

- Implemented "wait busy" for sequential reader queues. So we wait for one
extra idle period for these queues to become busy so that group does not
loose fairness. This works even if group_idle=0.

- Fixed an issue where readers don't preempt writers with-in a group when
readers get backlogged. (implemented late preemption).

- Fixed the issue reported by Gui where Anticipatory was not expiring the

- Did more modification to AS so that it lets common layer know that it is
anticipation on next requeust and common fair queuing layer does not try
to do excessive queue expiratrions.

- Started charging the queue only for allocated slice length (if fairness
is not set) if it consumed more than allocated slice. Otherwise that
queue can miss a dispatch round doubling the max latencies. This idea
also borrowed from BFQ.

- Allowed preemption where a reader can preempt other writer running in
sibling groups or a meta data reader can preempt other non metadata
reader in sibling group.

- Fixed freed_request() issue pointed out by Nauman.

What problem are we trying to solve
Provide group IO scheduling feature in Linux along the lines of other resource
controllers like cpu.

IOW, provide facility so that a user can group applications using cgroups and
control the amount of disk time/bandwidth received by a group based on its

How to solve the problem

Different people have solved the issue differetnly. So far looks it looks
like we seem to have following two core requirements when it comes to
fairness at group level.

- Control bandwidth seen by groups.
- Control on latencies when a request gets backlogged in group.

At least there are now three patchsets available (including this one).

IO throttling
This is a bandwidth controller which keeps track of IO rate of a group and
throttles the process in the group if it exceeds the user specified limit.

This is a proportional bandwidth controller implemented as device mapper
driver and provides fair access in terms of amount of IO done (not in terms
of disk time as CFQ does).

So one will setup one or more dm-ioband devices on top of physical/logical
block device, configure the ioband device and pass information like grouping
etc. Now this device will keep track of bios flowing through it and control
the flow of bios based on group policies.

IO scheduler based IO controller
Here we have viewed the problem of IO contoller as hierarchical group
scheduling (along the lines of CFS group scheduling) issue. Currently one can
view linux IO schedulers as flat where there is one root group and all the IO
belongs to that group.

This patchset basically modifies IO schedulers to also support hierarchical
group scheduling. CFQ already provides fairness among different processes. I
have extended it support group IO schduling. Also took some of the code out
of CFQ and put in a common layer so that same group scheduling code can be
used by noop, deadline and AS to support group scheduling.

There are pros and cons to each of the approach. Following are some of the

Max bandwidth vs proportional bandwidth
IO throttling is a max bandwidth controller and not a proportional one.
Additionaly it provides fairness in terms of amount of IO done (and not in
terms of disk time as CFQ does).

Personally, I think that proportional weight controller is useful to more
people than just max bandwidth controller. In addition, IO scheduler based
controller can also be enhanced to do max bandwidth control. So it can
satisfy wider set of requirements.

Fairness in terms of disk time vs size of IO
An higher level controller will most likely be limited to providing fairness
in terms of size/number of IO done and will find it hard to provide fairness
in terms of disk time used (as CFQ provides between various prio levels). This
is because only IO scheduler knows how much disk time a queue has used and
information about queues and disk time used is not exported to higher

So a seeky application will still run away with lot of disk time and bring
down the overall throughput of the the disk.

Currently dm-ioband provides fairness in terms of number/size of IO.

Latencies and isolation between groups
An higher level controller is generally implementing a bandwidth throttling
solution where if a group exceeds either the max bandwidth or the proportional
share then throttle that group.

This kind of approach will probably not help in controlling latencies as it
will depend on underlying IO scheduler. Consider following scenario.

Assume there are two groups. One group is running multiple sequential readers
and other group has a random reader. sequential readers will get a nice 100ms
slice each and then a random reader from group2 will get to dispatch the
request. So latency of this random reader will depend on how many sequential
readers are running in other group and that is a weak isolation between groups.

When we control things at IO scheduler level, we assign one time slice to one
group and then pick next entity to run. So effectively after one time slice
(max 180ms, if prio 0 sequential reader is running), random reader in other
group will get to run. Hence we achieve better isolation between groups as
response time of process in a differnt group is generally not dependent on
number of processes running in competing group.

So a higher level solution is most likely limited to only shaping bandwidth
without any control on latencies.

Stacking group scheduler on top of CFQ can lead to issues
IO throttling and dm-ioband both are second level controller. That is these
controllers are implemented in higher layers than io schedulers. So they
control the IO at higher layer based on group policies and later IO
schedulers take care of dispatching these bios to disk.

Implementing a second level controller has the advantage of being able to
provide bandwidth control even on logical block devices in the IO stack
which don't have any IO schedulers attached to these. But they can also
interefere with IO scheduling policy of underlying IO scheduler and change
the effective behavior. Following are some of the issues which I think
should be visible in second level controller in one form or other.

Prio with-in group
A second level controller can potentially interefere with behavior of
different prio processes with-in a group. bios are buffered at higher layer
in single queue and release of bios is FIFO and not proportionate to the
ioprio of the process. This can result in a particular prio level not
getting fair share.

Buffering at higher layer can delay read requests for more than slice idle
period of CFQ (default 8 ms). That means, it is possible that we are waiting
for a request from the queue but it is buffered at higher layer and then idle
timer will fire. It means that queue will losse its share at the same time
overall throughput will be impacted as we lost those 8 ms.

Read Vs Write
Writes can overwhelm readers hence second level controller FIFO release
will run into issue here. If there is a single queue maintained then reads
will suffer large latencies. If there separate queues for reads and writes
then it will be hard to decide in what ratio to dispatch reads and writes as
it is IO scheduler's decision to decide when and how much read/write to
dispatch. This is another place where higher level controller will not be in
sync with lower level io scheduler and can change the effective policies of
underlying io scheduler.

CFQ IO context Issues
Buffering at higher layer means submission of bios later with the help of
a worker thread. This changes the io context information at CFQ layer which
assigns the request to submitting thread. Change of io context info again
leads to issues of idle timer expiry and issue of a process not getting fair
share and reduced throughput.

Throughput with noop, deadline and AS
I think an higher level controller will result in reduced overall throughput
(as compared to io scheduler based io controller) and more seeks with noop,
deadline and AS.

The reason being, that it is likely that IO with-in a group will be related
and will be relatively close as compared to IO across the groups. For example,
thread pool of kvm-qemu doing IO for virtual machine. In case of higher level
control, IO from various groups will go into a single queue at lower level
controller and it might happen that IO is now interleaved (G1, G2, G1, G3,
G4....) causing more seeks and reduced throughput. (Agreed that merging will
help up to some extent but still....).

Instead, in case of lower level controller, IO scheduler maintains one queue
per group hence there is no interleaving of IO between groups. And if IO is
related with-in group, then we shoud get reduced number/amount of seek and
higher throughput.

Latency can be a concern but that can be controlled by reducing the time
slice length of the queue.

Fairness at logical device level vs at physical device level

IO scheduler based controller has the limitation that it works only with the
bottom most devices in the IO stack where IO scheduler is attached.

For example, assume a user has created a logical device lv0 using three
underlying disks sda, sdb and sdc. Also assume there are two tasks T1 and T2
in two groups doing IO on lv0. Also assume that weights of groups are in the
ratio of 2:1 so T1 should get double the BW of T2 on lv0 device.

T1 T2
\ /
/ | \
sda sdb sdc

Now resource control will take place only on devices sda, sdb and sdc and
not at lv0 level. So if IO from two tasks is relatively uniformly
distributed across the disks then T1 and T2 will see the throughput ratio
in proportion to weight specified. But if IO from T1 and T2 is going to
different disks and there is no contention then at higher level they both
will see same BW.

Here a second level controller can produce better fairness numbers at
logical device but most likely at redued overall throughput of the system,
because it will try to control IO even if there is no contention at phsical
possibly leaving diksks unused in the system.

Hence, question comes that how important it is to control bandwidth at
higher level logical devices also. The actual contention for resources is
at the leaf block device so it probably makes sense to do any kind of
control there and not at the intermediate devices. Secondly probably it
also means better use of available resources.

Limited Fairness
Currently CFQ idles on a sequential reader queue to make sure it gets its
fair share. A second level controller will find it tricky to anticipate.
Either it will not have any anticipation logic and in that case it will not
provide fairness to single readers in a group (as dm-ioband does) or if it
starts anticipating then we should run into these strange situations where
second level controller is anticipating on one queue/group and underlying
IO scheduler might be anticipating on something else.

Need of device mapper tools
A device mapper based solution will require creation of a ioband device
on each physical/logical device one wants to control. So it requires usage
of device mapper tools even for the people who are not using device mapper.
At the same time creation of ioband device on each partition in the system to
control the IO can be cumbersome and overwhelming if system has got lots of
disks and partitions with-in.

IMHO, IO scheduler based IO controller is a reasonable approach to solve the
problem of group bandwidth control, and can do hierarchical IO scheduling
more tightly and efficiently.

But I am all ears to alternative approaches and suggestions how doing things
can be done better and will be glad to implement it.

- code cleanups, testing, bug fixing, optimizations, benchmarking etc...
- More testing to make sure there are no regressions in CFQ.


A 7200 RPM SATA drive with queue depth of 31. Ext3 filesystem. I am mostly
running fio jobs which have been limited to 30 seconds run and then monitored
the throughput and latency.

Test1: Random Reader Vs Random Writers
Launched a random reader and then increasing number of random writers to see
the effect on random reader BW and max lantecies.

[fio --rw=randwrite --bs=64K --size=2G --runtime=30 --direct=1 --ioengine=libaio --iodepth=4 --numjobs= <1 to 32> ]
[fio --rw=randread --bs=4K --size=2G --runtime=30 --direct=1]

[Vanilla CFQ, No groups]
<--------------random writers--------------------> <------random reader-->
nr Max-bdwidth Min-bdwidth Agg-bdwidth Max-latency Agg-bdwidth Max-latency
1 5737KiB/s 5737KiB/s 5737KiB/s 164K usec 503KiB/s 159K usec
2 2055KiB/s 1984KiB/s 4039KiB/s 1459K usec 150KiB/s 170K usec
4 1238KiB/s 932KiB/s 4419KiB/s 4332K usec 153KiB/s 225K usec
8 1059KiB/s 929KiB/s 7901KiB/s 1260K usec 118KiB/s 377K usec
16 604KiB/s 483KiB/s 8519KiB/s 3081K usec 47KiB/s 756K usec
32 367KiB/s 222KiB/s 9643KiB/s 5940K usec 22KiB/s 923K usec

Created two cgroups group1 and group2 of weights 500 each. Launched increasing
number of random writers in group1 and one random reader in group2 using fio.

[IO controller CFQ; group_idle=8; group1 weight=500; group2 weight=500]
<--------------random writers(group1)-------------> <-random reader(group2)->
nr Max-bdwidth Min-bdwidth Agg-bdwidth Max-latency Agg-bdwidth Max-latency
1 18115KiB/s 18115KiB/s 18115KiB/s 604K usec 345KiB/s 176K usec
2 3752KiB/s 3676KiB/s 7427KiB/s 4367K usec 402KiB/s 187K usec
4 1951KiB/s 1863KiB/s 7642KiB/s 1989K usec 384KiB/s 181K usec
8 755KiB/s 629KiB/s 5683KiB/s 2133K usec 366KiB/s 319K usec
16 418KiB/s 369KiB/s 6276KiB/s 1323K usec 352KiB/s 287K usec
32 236KiB/s 191KiB/s 6518KiB/s 1910K usec 337KiB/s 273K usec

Also ran the same test with IO controller CFQ in flat mode to see if there
are any major deviations from Vanilla CFQ. Does not look like any.

[IO controller CFQ; No groups ]
<--------------random writers--------------------> <------random reader-->
nr Max-bdwidth Min-bdwidth Agg-bdwidth Max-latency Agg-bdwidth Max-latency
1 5696KiB/s 5696KiB/s 5696KiB/s 259K usec 500KiB/s 194K usec
2 2483KiB/s 2197KiB/s 4680KiB/s 887K usec 150KiB/s 159K usec
4 1471KiB/s 1433KiB/s 5817KiB/s 962K usec 126KiB/s 189K usec
8 691KiB/s 580KiB/s 5159KiB/s 2752K usec 197KiB/s 246K usec
16 781KiB/s 698KiB/s 11892KiB/s 943K usec 61KiB/s 529K usec
32 415KiB/s 324KiB/s 12461KiB/s 4614K usec 17KiB/s 737K usec

- With vanilla CFQ, random writers can overwhelm a random reader. Bring down
its throughput and bump up latencies significantly.

- With IO controller, one can provide isolation to the random reader group and
maintain consitent view of bandwidth and latencies.

Test2: Random Reader Vs Sequential Reader
Launched a random reader and then increasing number of sequential readers to
see the effect on BW and latencies of random reader.

[fio --rw=read --bs=4K --size=2G --runtime=30 --direct=1 --numjobs= <1 to 16> ]
[fio --rw=randread --bs=4K --size=2G --runtime=30 --direct=1]

[ Vanilla CFQ, No groups ]
<---------------seq readers----------------------> <------random reader-->
nr Max-bdwidth Min-bdwidth Agg-bdwidth Max-latency Agg-bdwidth Max-latency
1 23318KiB/s 23318KiB/s 23318KiB/s 55940 usec 36KiB/s 247K usec
2 14732KiB/s 11406KiB/s 26126KiB/s 142K usec 20KiB/s 446K usec
4 9417KiB/s 5169KiB/s 27338KiB/s 404K usec 10KiB/s 993K usec
8 3360KiB/s 3041KiB/s 25850KiB/s 954K usec 60KiB/s 956K usec
16 1888KiB/s 1457KiB/s 26763KiB/s 1871K usec 28KiB/s 1868K usec

Created two cgroups group1 and group2 of weights 500 each. Launched increasing
number of sequential readers in group1 and one random reader in group2 using

[IO controller CFQ; group_idle=1; group1 weight=500; group2 weight=500]
<---------------group1---------------------------> <------group2--------->
nr Max-bdwidth Min-bdwidth Agg-bdwidth Max-latency Agg-bdwidth Max-latency
1 13733KiB/s 13733KiB/s 13733KiB/s 247K usec 330KiB/s 154K usec
2 8553KiB/s 4963KiB/s 13514KiB/s 472K usec 322KiB/s 174K usec
4 5045KiB/s 1367KiB/s 13134KiB/s 947K usec 318KiB/s 178K usec
8 1774KiB/s 1420KiB/s 13035KiB/s 1871K usec 323KiB/s 233K usec
16 959KiB/s 518KiB/s 12691KiB/s 3809K usec 324KiB/s 208K usec

Also ran the same test with IO controller CFQ in flat mode to see if there
are any major deviations from Vanilla CFQ. Does not look like any.

[IO controller CFQ; No groups ]
<---------------seq readers----------------------> <------random reader-->
nr Max-bdwidth Min-bdwidth Agg-bdwidth Max-latency Agg-bdwidth Max-latency
1 23028KiB/s 23028KiB/s 23028KiB/s 47460 usec 36KiB/s 253K usec
2 14452KiB/s 11176KiB/s 25628KiB/s 145K usec 20KiB/s 447K usec
4 8815KiB/s 5720KiB/s 27121KiB/s 396K usec 10KiB/s 968K usec
8 3335KiB/s 2827KiB/s 24866KiB/s 960K usec 62KiB/s 955K usec
16 1784KiB/s 1311KiB/s 26537KiB/s 1883K usec 26KiB/s 1866K usec

- The BW and latencies of random reader in group 2 seems to be stable and
bounded and does not get impacted much as number of sequential readers
increase in group1. Hence provding good isolation.

- Throughput of sequential readers comes down and latencies go up as half
of disk bandwidth (in terms of time) has been reserved for random reader

Test3: Sequential Reader Vs Sequential Reader
Created two cgroups group1 and group2 of weights 500 and 1000 respectively.
Launched increasing number of sequential readers in group1 and one sequential
reader in group2 using fio and monitored how bandwidth is being distributed
between two groups.

First 5 columns give stats about job in group1 and last two columns give
stats about job in group2.

<---------------group1---------------------------> <------group2--------->
nr Max-bdwidth Min-bdwidth Agg-bdwidth Max-latency Agg-bdwidth Max-latency
1 8970KiB/s 8970KiB/s 8970KiB/s 230K usec 20681KiB/s 124K usec
2 6783KiB/s 3202KiB/s 9984KiB/s 546K usec 19682KiB/s 139K usec
4 4641KiB/s 1029KiB/s 9280KiB/s 1185K usec 19235KiB/s 172K usec
8 1435KiB/s 1079KiB/s 9926KiB/s 2461K usec 19501KiB/s 153K usec
16 764KiB/s 398KiB/s 9395KiB/s 4986K usec 19367KiB/s 172K usec

Note: group2 is getting double the bandwidth of group1 even in the face
of increasing number of readers in group1.

Test4 (Isolation between two KVM virtual machines)
Created two KVM virtual machines. Partitioned a disk on host in two partitions
and gave one partition to each virtual machine. Put both the virtual machines
in two different cgroup of weight 1000 and 500 each. Virtual machines created
ext3 file system on the partitions exported from host and did buffered writes.
Host seems writes as synchronous and virtual machine with higher weight gets
double the disk time of virtual machine of lower weight. Used deadline
scheduler in this test case.

Some more details about configuration are in documentation patch.

Test5 (Fairness for async writes, Buffered Write Vs Buffered Write)
Fairness for async writes is tricky and biggest reason is that async writes
are cached in higher layers (page cahe) as well as possibly in file system
layer also (btrfs, xfs etc), and are dispatched to lower layers not necessarily
in proportional manner.

For example, consider two dd threads reading /dev/zero as input file and doing
writes of huge files. Very soon we will cross vm_dirty_ratio and dd thread will
be forced to write out some pages to disk before more pages can be dirtied. But
not necessarily dirty pages of same thread are picked. It can very well pick
the inode of lesser priority dd thread and do some writeout. So effectively
higher weight dd is doing writeouts of lower weight dd pages and we don't see
service differentation.

IOW, the core problem with buffered write fairness is that higher weight thread
does not throw enought IO traffic at IO controller to keep the queue
continuously backlogged. In my testing, there are many .2 to .8 second
intervals where higher weight queue is empty and in that duration lower weight
queue get lots of job done giving the impression that there was no service

In summary, from IO controller point of view async writes support is there.
Because page cache has not been designed in such a manner that higher
prio/weight writer can do more write out as compared to lower prio/weight
writer, gettting service differentiation is hard and it is visible in some
cases and not visible in some cases.

Vanilla CFQ Vs IO Controller CFQ
We have not fundamentally changed CFQ, instead enhanced it to also support
hierarchical io scheduling. In the process invariably there are small changes
here and there as new scenarios come up. Running some tests here and comparing
both the CFQ's to see if there is any major deviation in behavior.

Test1: Sequential Readers
[fio --rw=read --bs=4K --size=2G --runtime=30 --direct=1 --numjobs=<1 to 16> ]

IO scheduler: Vanilla CFQ

nr Max-bdwidth Min-bdwidth Agg-bdwidth Max-latency
1 35499KiB/s 35499KiB/s 35499KiB/s 19195 usec
2 17089KiB/s 13600KiB/s 30690KiB/s 118K usec
4 9165KiB/s 5421KiB/s 29411KiB/s 380K usec
8 3815KiB/s 3423KiB/s 29312KiB/s 830K usec
16 1911KiB/s 1554KiB/s 28921KiB/s 1756K usec

IO scheduler: IO controller CFQ

nr Max-bdwidth Min-bdwidth Agg-bdwidth Max-latency
1 34494KiB/s 34494KiB/s 34494KiB/s 14482 usec
2 16983KiB/s 13632KiB/s 30616KiB/s 123K usec
4 9237KiB/s 5809KiB/s 29631KiB/s 372K usec
8 3901KiB/s 3505KiB/s 29162KiB/s 822K usec
16 1895KiB/s 1653KiB/s 28945KiB/s 1778K usec

Test2: Sequential Writers
[fio --rw=write --bs=4K --size=2G --runtime=30 --direct=1 --numjobs=<1 to 16> ]

IO scheduler: Vanilla CFQ

nr Max-bdwidth Min-bdwidth Agg-bdwidth Max-latency
1 22669KiB/s 22669KiB/s 22669KiB/s 401K usec
2 14760KiB/s 7419KiB/s 22179KiB/s 571K usec
4 5862KiB/s 5746KiB/s 23174KiB/s 444K usec
8 3377KiB/s 2199KiB/s 22427KiB/s 1057K usec
16 2229KiB/s 556KiB/s 20601KiB/s 5099K usec

IO scheduler: IO Controller CFQ

nr Max-bdwidth Min-bdwidth Agg-bdwidth Max-latency
1 22911KiB/s 22911KiB/s 22911KiB/s 37319 usec
2 11752KiB/s 11632KiB/s 23383KiB/s 245K usec
4 6663KiB/s 5409KiB/s 23207KiB/s 384K usec
8 3161KiB/s 2460KiB/s 22566KiB/s 935K usec
16 1888KiB/s 795KiB/s 21349KiB/s 3009K usec

Test3: Random Readers
[fio --rw=randread --bs=4K --size=2G --runtime=30 --direct=1 --numjobs=1 to 16]

IO scheduler: Vanilla CFQ

nr Max-bdwidth Min-bdwidth Agg-bdwidth Max-latency
1 484KiB/s 484KiB/s 484KiB/s 22596 usec
2 229KiB/s 196KiB/s 425KiB/s 51111 usec
4 119KiB/s 73KiB/s 405KiB/s 2344 msec
8 93KiB/s 23KiB/s 399KiB/s 2246 msec
16 38KiB/s 8KiB/s 328KiB/s 3965 msec

IO scheduler: IO Controller CFQ

nr Max-bdwidth Min-bdwidth Agg-bdwidth Max-latency
1 483KiB/s 483KiB/s 483KiB/s 29391 usec
2 229KiB/s 196KiB/s 426KiB/s 51625 usec
4 132KiB/s 88KiB/s 417KiB/s 2313 msec
8 79KiB/s 18KiB/s 389KiB/s 2298 msec
16 43KiB/s 9KiB/s 327KiB/s 3905 msec

Test4: Random Writers
[fio --rw=randwrite --bs=4K --size=2G --runtime=30 --direct=1 --numjobs=1 to 16]

IO scheduler: Vanilla CFQ

nr Max-bdwidth Min-bdwidth Agg-bdwidth Max-latency
1 14641KiB/s 14641KiB/s 14641KiB/s 93045 usec
2 7896KiB/s 1348KiB/s 9245KiB/s 82778 usec
4 2657KiB/s 265KiB/s 6025KiB/s 216K usec
8 951KiB/s 122KiB/s 3386KiB/s 1148K usec
16 66KiB/s 22KiB/s 829KiB/s 1308 msec

IO scheduler: IO Controller CFQ

nr Max-bdwidth Min-bdwidth Agg-bdwidth Max-latency
1 14454KiB/s 14454KiB/s 14454KiB/s 74623 usec
2 4595KiB/s 4104KiB/s 8699KiB/s 135K usec
4 3113KiB/s 334KiB/s 5782KiB/s 200K usec
8 1146KiB/s 95KiB/s 3832KiB/s 593K usec
16 71KiB/s 29KiB/s 814KiB/s 1457 msec

- Does not look like that anything has changed significantly.

Previous versions of the patches were posted here.



 \ /
  Last update: 2009-09-24 21:35    [W:0.449 / U:33.064 seconds]
©2003-2018 Jasper Spaans|hosted at Digital Ocean and TransIP|Read the blog|Advertise on this site