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author | Linus Torvalds <torvalds@ppc970.osdl.org> | 2005-04-17 02:20:36 +0400 |
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committer | Linus Torvalds <torvalds@ppc970.osdl.org> | 2005-04-17 02:20:36 +0400 |
commit | 1da177e4c3f41524e886b7f1b8a0c1fc7321cac2 (patch) | |
tree | 0bba044c4ce775e45a88a51686b5d9f90697ea9d /Documentation/block/as-iosched.txt | |
download | linux-1da177e4c3f41524e886b7f1b8a0c1fc7321cac2.tar.xz |
Linux-2.6.12-rc2v2.6.12-rc2
Initial git repository build. I'm not bothering with the full history,
even though we have it. We can create a separate "historical" git
archive of that later if we want to, and in the meantime it's about
3.2GB when imported into git - space that would just make the early
git days unnecessarily complicated, when we don't have a lot of good
infrastructure for it.
Let it rip!
Diffstat (limited to 'Documentation/block/as-iosched.txt')
-rw-r--r-- | Documentation/block/as-iosched.txt | 165 |
1 files changed, 165 insertions, 0 deletions
diff --git a/Documentation/block/as-iosched.txt b/Documentation/block/as-iosched.txt new file mode 100644 index 000000000000..6f47332c883d --- /dev/null +++ b/Documentation/block/as-iosched.txt @@ -0,0 +1,165 @@ +Anticipatory IO scheduler +------------------------- +Nick Piggin <piggin@cyberone.com.au> 13 Sep 2003 + +Attention! Database servers, especially those using "TCQ" disks should +investigate performance with the 'deadline' IO scheduler. Any system with high +disk performance requirements should do so, in fact. + +If you see unusual performance characteristics of your disk systems, or you +see big performance regressions versus the deadline scheduler, please email +me. Database users don't bother unless you're willing to test a lot of patches +from me ;) its a known issue. + +Also, users with hardware RAID controllers, doing striping, may find +highly variable performance results with using the as-iosched. The +as-iosched anticipatory implementation is based on the notion that a disk +device has only one physical seeking head. A striped RAID controller +actually has a head for each physical device in the logical RAID device. + +However, setting the antic_expire (see tunable parameters below) produces +very similar behavior to the deadline IO scheduler. + + +Selecting IO schedulers +----------------------- +To choose IO schedulers at boot time, use the argument 'elevator=deadline'. +'noop' and 'as' (the default) are also available. IO schedulers are assigned +globally at boot time only presently. + + +Anticipatory IO scheduler Policies +---------------------------------- +The as-iosched implementation implements several layers of policies +to determine when an IO request is dispatched to the disk controller. +Here are the policies outlined, in order of application. + +1. one-way Elevator algorithm. + +The elevator algorithm is similar to that used in deadline scheduler, with +the addition that it allows limited backward movement of the elevator +(i.e. seeks backwards). A seek backwards can occur when choosing between +two IO requests where one is behind the elevator's current position, and +the other is in front of the elevator's position. If the seek distance to +the request in back of the elevator is less than half the seek distance to +the request in front of the elevator, then the request in back can be chosen. +Backward seeks are also limited to a maximum of MAXBACK (1024*1024) sectors. +This favors forward movement of the elevator, while allowing opportunistic +"short" backward seeks. + +2. FIFO expiration times for reads and for writes. + +This is again very similar to the deadline IO scheduler. The expiration +times for requests on these lists is tunable using the parameters read_expire +and write_expire discussed below. When a read or a write expires in this way, +the IO scheduler will interrupt its current elevator sweep or read anticipation +to service the expired request. + +3. Read and write request batching + +A batch is a collection of read requests or a collection of write +requests. The as scheduler alternates dispatching read and write batches +to the driver. In the case a read batch, the scheduler submits read +requests to the driver as long as there are read requests to submit, and +the read batch time limit has not been exceeded (read_batch_expire). +The read batch time limit begins counting down only when there are +competing write requests pending. + +In the case of a write batch, the scheduler submits write requests to +the driver as long as there are write requests available, and the +write batch time limit has not been exceeded (write_batch_expire). +However, the length of write batches will be gradually shortened +when read batches frequently exceed their time limit. + +When changing between batch types, the scheduler waits for all requests +from the previous batch to complete before scheduling requests for the +next batch. + +The read and write fifo expiration times described in policy 2 above +are checked only when in scheduling IO of a batch for the corresponding +(read/write) type. So for example, the read FIFO timeout values are +tested only during read batches. Likewise, the write FIFO timeout +values are tested only during write batches. For this reason, +it is generally not recommended for the read batch time +to be longer than the write expiration time, nor for the write batch +time to exceed the read expiration time (see tunable parameters below). + +When the IO scheduler changes from a read to a write batch, +it begins the elevator from the request that is on the head of the +write expiration FIFO. Likewise, when changing from a write batch to +a read batch, scheduler begins the elevator from the first entry +on the read expiration FIFO. + +4. Read anticipation. + +Read anticipation occurs only when scheduling a read batch. +This implementation of read anticipation allows only one read request +to be dispatched to the disk controller at a time. In +contrast, many write requests may be dispatched to the disk controller +at a time during a write batch. It is this characteristic that can make +the anticipatory scheduler perform anomalously with controllers supporting +TCQ, or with hardware striped RAID devices. Setting the antic_expire +queue paramter (see below) to zero disables this behavior, and the anticipatory +scheduler behaves essentially like the deadline scheduler. + +When read anticipation is enabled (antic_expire is not zero), reads +are dispatched to the disk controller one at a time. +At the end of each read request, the IO scheduler examines its next +candidate read request from its sorted read list. If that next request +is from the same process as the request that just completed, +or if the next request in the queue is "very close" to the +just completed request, it is dispatched immediately. Otherwise, +statistics (average think time, average seek distance) on the process +that submitted the just completed request are examined. If it seems +likely that that process will submit another request soon, and that +request is likely to be near the just completed request, then the IO +scheduler will stop dispatching more read requests for up time (antic_expire) +milliseconds, hoping that process will submit a new request near the one +that just completed. If such a request is made, then it is dispatched +immediately. If the antic_expire wait time expires, then the IO scheduler +will dispatch the next read request from the sorted read queue. + +To decide whether an anticipatory wait is worthwhile, the scheduler +maintains statistics for each process that can be used to compute +mean "think time" (the time between read requests), and mean seek +distance for that process. One observation is that these statistics +are associated with each process, but those statistics are not associated +with a specific IO device. So for example, if a process is doing IO +on several file systems on separate devices, the statistics will be +a combination of IO behavior from all those devices. + + +Tuning the anticipatory IO scheduler +------------------------------------ +When using 'as', the anticipatory IO scheduler there are 5 parameters under +/sys/block/*/queue/iosched/. All are units of milliseconds. + +The parameters are: +* read_expire + Controls how long until a read request becomes "expired". It also controls the + interval between which expired requests are served, so set to 50, a request + might take anywhere < 100ms to be serviced _if_ it is the next on the + expired list. Obviously request expiration strategies won't make the disk + go faster. The result basically equates to the timeslice a single reader + gets in the presence of other IO. 100*((seek time / read_expire) + 1) is + very roughly the % streaming read efficiency your disk should get with + multiple readers. + +* read_batch_expire + Controls how much time a batch of reads is given before pending writes are + served. A higher value is more efficient. This might be set below read_expire + if writes are to be given higher priority than reads, but reads are to be + as efficient as possible when there are no writes. Generally though, it + should be some multiple of read_expire. + +* write_expire, and +* write_batch_expire are equivalent to the above, for writes. + +* antic_expire + Controls the maximum amount of time we can anticipate a good read (one + with a short seek distance from the most recently completed request) before + giving up. Many other factors may cause anticipation to be stopped early, + or some processes will not be "anticipated" at all. Should be a bit higher + for big seek time devices though not a linear correspondence - most + processes have only a few ms thinktime. + |