RFC: I/O bandwidth controller

Andrea Righi righi.andrea at gmail.com
Tue Aug 12 13:44:30 PDT 2008

Fernando Luis Vázquez Cao wrote:
> On Tue, 2008-08-12 at 22:29 +0900, Andrea Righi wrote:
>> Andrea Righi wrote:
>>> Hirokazu Takahashi wrote:
>>>>>>>>> 3. & 4. & 5. - I/O bandwidth shaping & General design aspects
>>>>>>>>> The implementation of an I/O scheduling algorithm is to a certain extent
>>>>>>>>> influenced by what we are trying to achieve in terms of I/O bandwidth
>>>>>>>>> shaping, but, as discussed below, the required accuracy can determine
>>>>>>>>> the layer where the I/O controller has to reside. Off the top of my
>>>>>>>>> head, there are three basic operations we may want perform:
>>>>>>>>>   - I/O nice prioritization: ionice-like approach.
>>>>>>>>>   - Proportional bandwidth scheduling: each process/group of processes
>>>>>>>>> has a weight that determines the share of bandwidth they receive.
>>>>>>>>>   - I/O limiting: set an upper limit to the bandwidth a group of tasks
>>>>>>>>> can use.
>>>>>>>> Use a deadline-based IO scheduling could be an interesting path to be
>>>>>>>> explored as well, IMHO, to try to guarantee per-cgroup minimum bandwidth
>>>>>>>> requirements.
>>>>>>> Please note that the only thing we can do is to guarantee minimum
>>>>>>> bandwidth requirement when there is contention for an IO resource, which
>>>>>>> is precisely what a proportional bandwidth scheduler does. An I missing
>>>>>>> something?
>>>>>> Correct. Proportional bandwidth automatically allows to guarantee min
>>>>>> requirements (instead of IO limiting approach, that needs additional
>>>>>> mechanisms to achive this).
>>>>>> In any case there's no guarantee for a cgroup/application to sustain
>>>>>> i.e. 10MB/s on a certain device, but this is a hard problem anyway, and
>>>>>> the best we can do is to try to satisfy "soft" constraints.
>>>>> I think guaranteeing the minimum I/O bandwidth is very important. In the 
>>>>> business site, especially in streaming service system, administrator requires 
>>>>> the functionality to satisfy QoS or performance of their service. 
>>>>> Of course, IO throttling is important, but, personally, I think guaranteeing 
>>>>> the minimum bandwidth is more important than limitation of maximum bandwidth 
>>>>> to satisfy the requirement in real business sites.
>>>>> And I know Andrea’s io-throttle patch supports the latter case well and it is 
>>>>> very stable. 
>>>>> But, the first case(guarantee the minimum bandwidth) is not supported in any 
>>>>> patches.
>>>>> Is there any plans to support it? and Is there any problems in implementing it?
>>>>> I think if IO controller can support guaranteeing the minimum bandwidth and 
>>>>> work-conserving mode simultaneously, it more easily satisfies the requirement 
>>>>> of the business sites.
>>>>> Additionally, I didn’t understand “Proportional bandwidth automatically allows 
>>>>> to guarantee min
>>>>> requirements” and “soft constraints”.
>>>>> Can you give me a advice about this ? 
>>>>> Thanks in advance.
>>>>> Dong-Jae Kang
>>>> I think this is what dm-ioband does.
>>>> Let's say you make two groups share the same disk, and give them
>>>> 70% of the bandwidth the disk physically has and 30% respectively.
>>>> This means the former group is almost guaranteed to be able to use
>>>> 70% of the bandwidth even when the latter one is issuing quite
>>>> a lot of I/O requests.
>>>> Yes, I know there exist head seek lags with traditional magnetic disks,
>>>> so it's important to improve the algorithm to reduce this overhead.
>>>> And I think it is also possible to add a new scheduling policy to
>>>> guarantee the minimum bandwidth. It might be cool if some group can
>>>> use guranteed bandwidths and the other share the rest on proportional
>>>> bandwidth policy.
>>>> Thanks,
>>>> Hirokazu Takahashi.
>>> With IO limiting approach minimum requirements are supposed to be
>>> guaranteed if the user configures a generic block device so that the sum
>>> of the limits doesn't exceed the total IO bandwidth of that device. But,
>>> in principle, there's nothing in "throttling" that guarantees "fairness"
>>> among different cgroups doing IO on the same block devices, that means
>>> there's nothing to guarantee minimum requirements (and this is the
>>> reason because I liked the Satoshi's CFQ-cgroup approach together with
>>> io-throttle).
>>> A more complicated issue is how to evaluate the total IO bandwidth of a
>>> generic device. We can use some kind of averaging/prediction, but
>>> basically it would be inaccurate due to the mechanic of disks (head
>>> seeks, but also caching, buffering mechanisms implemented directly into
>>> the device, etc.). It's a hard problem. And the same problem exists also
>>> for proportional bandwidth as well, in terms of IO rate predictability I
>>> mean.
>> BTW as I said in a previous email, an interesting path to be explored
>> IMHO could be to think in terms of IO time. So, look at the time an IO
>> request is issued to the drive, look at the time the request is served,
>> evaluate the difference and charge the consumed IO time to the
>> appropriate cgroup. Then dispatch IO requests in function of the
>> consumed IO time debts / credits, using for example a token-bucket
>> strategy. And probably the best place to implement the IO time
>> accounting is the elevator.
> Please note that the seek time for a specific IO request is strongly
> correlated with the IO requests that preceded it, which means that the
> owner of that request is not the only one to blame if it takes too long
> to process it. In other words, with the algorithm you propose we may end
> up charging the wrong guy.

mmh.. yes. The only scenario I can imagine where this solution is not
fair is when there're a lot of guys always requesting the same near
blocks and a single guy looking for a single distant block (supposing
disk seeks are more expensive than read/write ops).

In this case it would be fair to charge a huge amount only to the guy
requesting the single distant block and distribute the cost of the seek
to move back the head equally among the other guys. Using the algorighm
I proposed, instead, both the single "bad" guy and the first "good" guy
that moves back the disk head would spend a large sum of IO credits.


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