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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>What is Disk Scheduling Algorithms</title>
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<h1>What is Disk Scheduling?</h1>
<p>Disk scheduling is done by operating systems to schedule I/O requests arriving for the disk. Disk
scheduling is also known as I/O scheduling.</p>
<section>
<h2>Importance of Disk Scheduling</h2>
<ul>
<li>Multiple I/O requests may arrive by different processes and only one I/O request can be
served at a
time by the disk controller. Thus other I/O requests need to wait in the waiting queue
and need to be
scheduled.</li>
<li>Two or more request may be far from each other so can result in greater disk arm
movement.</li>
<li>Hard drives are one of the slowest parts of the computer system and thus need to be
accessed in an
efficient manner.</li>
</ul>
</section>
<h2>Important Terms of Disk Scheduling</h2>
<ol>
<li>
Seek Time: Seek time is the time taken to locate the disk arm to a specified track where the
data is to be read or write. So the disk scheduling algorithm that gives minimum average
seek time is better.
</li>
<li>
Rotational Latency: Rotational Latency is the time taken by the desired sector of disk to
rotate into a
position so that it can access the read/write heads. So the disk scheduling algorithm that
gives minimum
rotational latency is better.
</li>
<li>
Transfer Time: Transfer time is the time to transfer the data. It depends on the rotating
speed of the
disk and number of bytes to be transferred.
</li>
<li>
Access Time: Disk Access Time is: Disk Access Time = Seek Time + Rotational Latency +
Transfer Time
</li>
<li>
Disk Response Time: Response Time is the average of time spent by a request waiting to
perform its I/O
operation. Average Response time is the response time of the all requests. Variance Response
Time is
measure of how individual request are serviced with respect to average response time. So the
disk
scheduling algorithm that gives minimum variance response time is better.
</li>
</ol>
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