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A Comparison of I Mulyadi Santosa and Fawad Lateef What do you think of when you read the term "scheduler"? If you think of the mechanism that schedules the order in which processes are served, then you already have an idea of what this article is about.
The term "scheduler" itself is broad, and in this article we will narrow it down to I/O, specifically disk I/O. The first question to consider is why you need an I/O scheduler. To answer that, let's briefly see how a disk (ATA/SATA HDD or "hard disk drive") works. A typical HDD provides two ways of accessing a specific location:LBA (Logical Block Address) Most operating systems use LBA (especially Linux), which is based on sectors only, so the OS doesn't need to take into account cylinders and heads (each sector has a size of 512 bytes). When louis vuitton artsy mm amazon the OS asks a sector to be read, the disk head moves to the target sector, stops, fetches the content, puts it in disk's buffer, and generates an interrupt. This process is the same for all disk access whether it's for reading or writing. Note that the head moves mechanically, unlike the RAM/Memory, which has hardwired addresses and is directly accessible by the processor. So accessing a sector on disk can be hundreds or thousands of times slower than RAM access, and the seeking latency for a specific sector can vary greatly. Also, the mechanical nature of disk head movement causes another issue: More time spent moving the head means louis vuitton bags from the 70&s longer actual access time. It's preferable if all the data can be read with just one sweep, but of course that's an ideal case. So, given these large variations in seeking time, what can be done to decrease read/write latency? This is the question the I/O scheduler tries to solve. You can imagine it as a traffic controller. In a nutshell, the scheduler can postpone a request, re order requests, and merge adjacent requests into one. The goal of an I/O scheduler is to optimize head movement so more things can be done during a given time (resulting in technically higher throughput). With this idea in mind, let's look at I/O schedulers in more detail. There are four built in I/O schedulers ready to use in Linux; they are:CFQ (Complete Fair Queueing) Except for Noop, all of the above schedulers use the "queueing" concept as a way to manage incoming I/O requests. Queue here doesn't necessarily mean that requests will be processed in FIFO (first in first out) order; the queue is just a container that holds the requests to be manipulated further. A scheduler maintains one or more queues according to its implementation. In general, we see two queues: The I/O scheduler's queue and the driver's queue. Conceptually, the scheduler's queue sits between the VFS (Virtual File System) layer and the block device driver layer. Using this approach, the VFS layer needs no major modification to utilize the schedulers. Because the VFS layer already provides the basic elevator algorithm (disk access algo), the only work needed was to modify that elevator support to provide a generic interface for I/O schedulers. So, requests are submitted into a predefined I/O queue where the schedulers manage them. The same thing happens when the scheduler submits a request to the block device driver's queue. Thanks to this "object oriented like" approach, tweaking or even creating a new scheduler doesn't necessarily affect how other layers work. With the latest kernels, you can also change the effective scheduler on the fly at runtime for each available block device. This means that if you have two disks, they can use different I/O schedulers, so you don't need to select just one when booting the kernel for all the disks in the system. Using different schedulers on different block devices is a neat way to adapt to different I/O characteristics. All I/O schedulers have some tunable parameters that allow users to tweak them according to their louis vuitton alma bag ebay needs. And, each parameter can do a lot to change performance. Let's take a brief look at each of these I/O schedulers. Noop is the simplest scheduler present in Linux. It is mostly suitable for truly random access block devices, such as flash memory cards. The incoming requests for read/write are kept in FIFO order, and only the current request added at the end of the queue is tested for the possibility of merging. The downside is clear; you get no optimization at all, especially in situations where there are many competing read/write processes. Per process sequential readings vintage louis vuitton bags for sale on ebay will be seen as "random" access. So, it's better not to use this scheduler with any sequential access device, such as a hard disk. The scheduler is designed around the fact that a user tends to access adjacent sectors instead of jumping to other disk areas during certain periods of time. Most file systems in Linux use a specific approach to ensure that sectors belonging to a file are kept adjacent as much as possible. Between these reads, it is very likely that the task sleeps for a while before continuing reading. So, the basic idea behind the scheduler is that it anticipates subsequent reads between sleeps. By staying a bit longer in the same head position, it can reduce the back and forth seek movement to a certain degree. How long it should stay is sometimes determined by looking into the next incoming read request, or in some cases by forecasting based on statistics. It is clear then that the scheduler isn't really great for time sensitive read/write processes. The CFQ scheduler shares the same cons, although it is a bit better because of its "fairness" ability, which we'll describe later. If you have a lot of requests, you may want to make sure a request is serviced within a strict period of time. The scheduler was created to address this need. Read and write processes are guaranteed to be serviced within a strict amount of time, and read is prioritized over write. So, the scheduler pays attention to latency issues but not necessarily throughput. Read is favored over write, because read is assumed to be more important; however, write operations aren't allowed to be starved too much. This behavior can also be tweaked with some tunables, which we'll talk more about later. The scheduler is a sound fit for high performance I/O because it decreases the interactivity to a certain degree. For someone who demands smooth desktop experience, however, this might not be the scheduler to choose. CFQ is the default scheduler used in the latest kernel versions, and it is typically suited for people seeking balanced I/O service. Stressing "fairness", it tries to manage read/write processes using priorities so that nothing dominates or fully dictates the way the kernel serves these requests. This is done by dividing the bandwidth of each block device fairly among the processes performing I/O to that device. Lately it has also been improved by the time slice based operation, meaning it does what process schedulers do: Serves a request within a specific duration, stops, switches to another one, and repeats. When a process submits a request for disk access, the request can be classified as synchronous or asynchronous. In the case of synchronous requests, the process waits for the request's completion; for asynchronous requests, it simply sends the request to disk and starts doing some other work. Hence, the CFQ scheduler gives more time/priority to synchronous requests rather than to asynchronous requests. CFQ gives the best balance (theoretically) between throughput and interactivity. Most likely the default values of the schedulers' tunables don't meet your needs, so next we'll describe how to change them.
You can read about the tunables in detail in the documentation/block directory inside the Linux kernel source tree. You will find these tunables under the /sys/block//queue/iosched directory. You can set them or view the setting using "echo" or "cat", for example:.
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