转自:http://baoz.net/linux-io-%E8%B0%83%E5%BA%A6%E7%AE%97%E6%B3%95/
主要介绍anticipatory,deadline和CFQ三个磁盘调度算法,在linux编译内核的时候你可以选择。这三个调度算法在linux内核的帮助上都有简单的解释。大概的意思是如果你有数据库应用,最好选择deadline。http://www.ibm.com/developerworks/cn/linux/es-power5virtualization/index.html
这里有说到SCSI和IO的调度算法的东西
CFQ从LINUX帮助看来说是适用于桌面系统。
noop和anticipatory和deadline这几个需要学习一下
http://blog.zhangjianfeng.com/?p=647
这个文章也可以参考下
http://www.wlug.org.nz/LinuxIoScheduler
The 2.6 Linux Kernel included selectable IO schedulers. IO Schedulers control the way the kernel commits reads and writes to disks – the intention of providing different schedulers is to allow better optimsation for different classes of workload.
Without an IO scheduler, the kernel would basically just issue each request to disk in the order that it received them. This could result in massive thrashing of the disk subsystem – if one process was reading from one part of the disk, and one writing to another, it would have to seek back and forth across the disk for every operation. The schedulers main goal is to optimise disk access times.
An IO scheduler can use the following techniques to improve performance:
All IO schedulers should also take into account resource starvation, to ensure requests eventually do get serviced!
There are currently 4 available:
This scheduler only implements request merging.
The anticipatory scheduler is the default scheduler in older 2.6 kernels – if you’ve not specified one, this is the one that will be loaded. It implements request merging, a one-way elevator, read and write request batching, and attempts some anticapatory reads by holding off a bit after a read batch if it thinks a user is going to ask for more data. It tries to optimise for physical disks by avoiding head movements if possible – one downside to this is that it probably give highly erratic performance on database or storage systems.
The deadline scheduler implements request merging, a one-way elevator, and imposes a deadline on all operations to prevent resource starvation. Because writes return instantly within linux, with the actual data being held in cache, the deadline scheduler will also prefer readers – as long as the deadline for a write request hasn’t passed. The kernel docs suggest this is the preferred scheduler for database systems, especially if you have TCQ aware disks, or any system with high disk performance.
The complete fair queueing scheduler implements both request merging and the elevator, and attempts to give all users of a particular device the same number of IO requests over a particular time interval. This should make it more efficient for multiuser systems. It seems that Novel SLES sets cfq as the scheduler by default, as does the latest Ubuntu release. As of the 2.6.18 kernel, this is the default schedular in kernel.org releases.
The most reliable way to change schedulers is to set the kernel option ‘elevator’ at boot time. You can set it to one of "as", "cfq", "deadline" or "noop", to set the appropriate scheduler.
It seems under more recent 2.6 kernels (2.6.11, possibly earlier), you can change the scheduler at runtime by echoing the name of the scheduler into /sys/block/<devicename>/queue/scheduler, where devicename is the base name of the block device, eg sda for /dev/sda
I’ve not personally done any testing on this, so I can’t speak from experience yet. The anticipatory scheduler will be the default one for a reason however – it is optimised for the common case. If you’ve only got single disk systems (ie, no RAID – hardware or software) then this scheduler is probably the right one for you. If it’s a multiuser system, you will probably find cfq or deadline providing better performance, and the numbers seem to back deadline giving the best performance for database systems.
The schedulers may have parameters that can be tuned at runtime. Read the linux documentation on the schedulers listed in the References section below
Read the documents mentioned in the References section below, especially the linux kernel documentation on the anticipatory and deadline schedulers.
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