Open In App
Related Articles

C-LOOK Disk Scheduling Algorithm

Improve
Improve
Improve
Like Article
Like
Save Article
Save
Report issue
Report

C-LOOK Disk Scheduling Algorithm is an enhanced version of both SCAN as well as LOOK disk scheduling algorithms. This algorithm also uses the idea of wrapping the tracks as a circular cylinder as the C-SCAN Algorithm but the seek time is better than the C-SCAN algorithm. We know that C-SCAN is used to avoid starvation and services all the requests more uniformly, the same goes for C-LOOK. 

In this algorithm, the head services request only in one direction(either left or right) until all the requests in this direction are not serviced and then jumps back to the farthest request in the other direction and services the remaining requests which gives a better uniform servicing as well as avoids wasting seek time for going till the end of the disk.

In this article, we will see given an array of disk track numbers and initial head position, our task is to find the total number of seek operations to access all the requested tracks if the C-LOOK disk scheduling algorithm is used. Also, write a program to find the seek sequence using the C-LOOK disk scheduling algorithm.

Basic Steps Involved in the C-LOOK Algorithm

  • Determine the initial position of the disk head.
  • Sort the pending disk requests in the order in which they will be serviced.
  • Scan the disk in the chosen direction, servicing requests as they are encountered.
  • When the last request in the current direction has been serviced, immediately return to the beginning of the disk and repeat the process.

Advantages of the C-LOOK Disk Scheduling Algorithm

  • It can provide better performance than the LOOK algorithm because it reduces the number of head movements required to access data on the disk.
  • It is relatively simple to implement and does not require a large amount of memory or processing power.
  • It can be efficient in terms of disk usage because it scans only the areas of the disk where data is located.

Disadvantages of the C-LOOK Disk Scheduling Algorithm

  • It may not be optimal in situations where there are large amounts of data to be read or written in one direction, as it could lead to a large number of requests being queued up in the opposite direction.
  • It may not be suitable for real-time systems where fast response times are critical, as it does not prioritize requests based on their urgency or importance.
  • It may lead to starvation of requests that are located far away from the current position of the disk head.

Algorithm of C-LOOK Disk Scheduling Algorithm

Step 1: Let the Request array represents an array storing indexes of the tracks that have been requested in ascending order of their time of arrival and the head is the position of the disk head.

Step 2: The initial direction in which the head is moving is given and it services in the same direction.

Step 3: The head services all the requests one by one in the direction it is moving.

Step 4: The head continues to move in the same direction until all the requests in this direction have been serviced.

Step 5: While moving in this direction, calculate the absolute distance of the tracks from the head.

Step 6: Increment the total seek count with this distance.

Step 7: Currently serviced track position now becomes the new head position.

Step 8: Go to step 5 until we reach the last request in this direction.

Step 9: If we reach the last request in the current direction then reverse the direction and move the head in this direction until we reach the last request that is needed to be serviced in this direction without servicing the intermediate requests.

Step 10: Reverse the direction and go to step 3 until all the requests have not been serviced.

Example: 

Input: 
Request sequence = {176, 79, 34, 60, 92, 11, 41, 114} 
Initial head position = 50 
Direction = right (Moving from left to right) 

Output: 
Initial position of head: 50 
Total number of seek operations = 321 
Seek Sequence is 60, 79 , 92 , 114 , 176, 11 , 34, 41

The following chart shows the sequence in which requested tracks are serviced using C-LOOK.

Therefore, the total seek count = (60 - 50) + (79 - 60) + (92 - 79) +
(114 - 92) + (176 - 114) + (176 - 11) + (34 - 11) + (41 - 34) = 321
C-LOOK Disk Scheduling Algorithm

C-LOOK Disk Scheduling Algorithm

Implementation of C-LOOK Disk Scheduling Algorithm

The implementation of the C-LOOK algorithm is given below. The distance variable is used to store the absolute distance between the head and the current track position, disk_size is the size of the disk. Vectors left and right store all the request tracks on the left-hand side and the right-hand side of the initial head position respectively.

C++

// C++ implementation of the approach
#include <bits/stdc++.h>
using namespace std;
int size = 8;
int disk_size = 200;
 
// Function to perform C-LOOK on the request
// array starting from the given head
void CLOOK(int arr[], int head)
{
    int seek_count = 0;
    int distance, cur_track;
    vector<int> left, right;
    vector<int> seek_sequence;
 
    // Tracks on the left of the
    // head will be serviced when
    // once the head comes back
    // to the beginning (left end)
    for (int i = 0; i < size; i++) {
        if (arr[i] < head)
            left.push_back(arr[i]);
        if (arr[i] > head)
            right.push_back(arr[i]);
    }
 
    // Sorting left and right vectors
    std::sort(left.begin(), left.end());
    std::sort(right.begin(), right.end());
 
    // First service the requests
    // on the right side of the
    // head
    for (int i = 0; i < right.size(); i++) {
        cur_track = right[i];
 
        // Appending current track to seek sequence
        seek_sequence.push_back(cur_track);
 
        // Calculate absolute distance
        distance = abs(cur_track - head);
 
        // Increase the total count
        seek_count += distance;
 
        // Accessed track is now new head
        head = cur_track;
    }
 
    // Once reached the right end
    // jump to the last track that
    // is needed to be serviced in
    // left direction
    seek_count += abs(head - left[0]);
    head = left[0];
 
    // Now service the requests again
    // which are left
    for (int i = 0; i < left.size(); i++) {
        cur_track = left[i];
 
        // Appending current track to seek sequence
        seek_sequence.push_back(cur_track);
 
        // Calculate absolute distance
        distance = abs(cur_track - head);
 
        // Increase the total count
        seek_count += distance;
 
        // Accessed track is now the new head
        head = cur_track;
    }
 
    cout << "Total number of seek operations = "
         << seek_count << endl;
 
    cout << "Seek Sequence is" << endl;
 
    for (int i = 0; i < seek_sequence.size(); i++) {
        cout << seek_sequence[i] << endl;
    }
}
 
// Driver code
int main()
{
    // Request array
    int arr[size] = { 176, 79, 34, 60,
                      92, 11, 41, 114 };
    int head = 50;
 
    cout << "Initial position of head: " << head << endl;
 
    CLOOK(arr, head);
 
    return 0;
}

                    

Java

// Java implementation of the approach
import java.util.*;
 
class GFG{
  
static int size = 8;
static int disk_size = 200;
   
// Function to perform C-LOOK on the request
// array starting from the given head
public static void CLOOK(int arr[], int head)
{
    int seek_count = 0;
    int distance, cur_track;
     
    Vector<Integer> left = new Vector<Integer>();
    Vector<Integer> right = new Vector<Integer>();
    Vector<Integer> seek_sequence = new Vector<Integer>();
   
    // Tracks on the left of the
    // head will be serviced when
    // once the head comes back
    // to the beginning (left end)
    for(int i = 0; i < size; i++)
    {
        if (arr[i] < head)
            left.add(arr[i]);
        if (arr[i] > head)
            right.add(arr[i]);
    }
   
    // Sorting left and right vectors
    Collections.sort(left); 
    Collections.sort(right); 
   
    // First service the requests
    // on the right side of the
    // head
    for(int i = 0; i < right.size(); i++)
    {
        cur_track = right.get(i);
   
        // Appending current track
        // to seek sequence
        seek_sequence.add(cur_track);
   
        // Calculate absolute distance
        distance = Math.abs(cur_track - head);
   
        // Increase the total count
        seek_count += distance;
   
        // Accessed track is now new head
        head = cur_track;
    }
   
    // Once reached the right end
    // jump to the last track that
    // is needed to be serviced in
    // left direction
    seek_count += Math.abs(head - left.get(0));
    head = left.get(0);
   
    // Now service the requests again
    // which are left
    for(int i = 0; i < left.size(); i++)
    {
        cur_track = left.get(i);
   
        // Appending current track to
        // seek sequence
        seek_sequence.add(cur_track);
   
        // Calculate absolute distance
        distance = Math.abs(cur_track - head);
   
        // Increase the total count
        seek_count += distance;
   
        // Accessed track is now the new head
        head = cur_track;
    }
     
    System.out.println("Total number of seek " +
                       "operations = " + seek_count);
   
    System.out.println("Seek Sequence is");
   
    for(int i = 0; i < seek_sequence.size(); i++)
    {
        System.out.println(seek_sequence.get(i));
    }
}
 
// Driver code
public static void main(String []args)
{
     
    // Request array
    int arr[] = { 176, 79, 34, 60,
                  92, 11, 41, 114 };
    int head = 50;
   
    System.out.println("Initial position of head: " +
                       head);
   
    CLOOK(arr, head);
}
}
 
// This code is contributed by divyesh072019

                    

Python3

# Python3 implementation of the approach
size = 8
disk_size = 200
 
# Function to perform C-LOOK on the request
# array starting from the given head
def CLOOK(arr, head):
     
    seek_count = 0
    distance = 0
    cur_track = 0
 
    left = []
    right = []
 
    seek_sequence = []
 
    # Tracks on the left of the
    # head will be serviced when
    # once the head comes back
    # to the beginning (left end)
    for i in range(size):
        if (arr[i] < head):
            left.append(arr[i])
        if (arr[i] > head):
            right.append(arr[i])
 
    # Sorting left and right vectors
    left.sort()
    right.sort()
 
    # First service the requests
    # on the right side of the
    # head
    for i in range(len(right)):
        cur_track = right[i]
         
        # Appending current track
        # seek sequence
        seek_sequence.append(cur_track)
 
        # Calculate absolute distance
        distance = abs(cur_track - head)
 
        # Increase the total count
        seek_count += distance
 
        # Accessed track is now new head
        head = cur_track
 
    # Once reached the right end
    # jump to the last track that
    # is needed to be serviced in
    # left direction
    seek_count += abs(head - left[0])
    head = left[0]
 
    # Now service the requests again
    # which are left
    for i in range(len(left)):
        cur_track = left[i]
 
        # Appending current track to
        # seek sequence
        seek_sequence.append(cur_track)
 
        # Calculate absolute distance
        distance = abs(cur_track - head)
 
        # Increase the total count
        seek_count += distance
 
        # Accessed track is now the new head
        head = cur_track
 
    print("Total number of seek operations =",
          seek_count)
    print("Seek Sequence is")
 
    for i in range(len(seek_sequence)):
        print(seek_sequence[i])
 
# Driver code
 
# Request array
arr = [ 176, 79, 34, 60,
        92, 11, 41, 114 ]
head = 50
 
print("Initial position of head:", head)
 
CLOOK(arr, head)
 
# This code is contributed by rag2127

                    

C#

// C# implementation of the approach
using System;
using System.Collections.Generic;
 
class GFG{
     
static int size = 8;
    
// Function to perform C-LOOK on the request
// array starting from the given head
static void CLOOK(int[] arr, int head)
{
    int seek_count = 0;
    int distance, cur_track;
      
    List<int> left = new List<int>();
    List<int> right = new List<int>();
    List<int> seek_sequence = new List<int>();
    
    // Tracks on the left of the
    // head will be serviced when
    // once the head comes back
    // to the beginning (left end)
    for(int i = 0; i < size; i++)
    {
        if (arr[i] < head)
            left.Add(arr[i]);
        if (arr[i] > head)
            right.Add(arr[i]);
    }
    
    // Sorting left and right vectors
    left.Sort(); 
    right.Sort(); 
    
    // First service the requests
    // on the right side of the
    // head
    for(int i = 0; i < right.Count; i++)
    {
        cur_track = right[i];
    
        // Appending current track
        // to seek sequence
        seek_sequence.Add(cur_track);
    
        // Calculate absolute distance
        distance = Math.Abs(cur_track - head);
    
        // Increase the total count
        seek_count += distance;
    
        // Accessed track is now new head
        head = cur_track;
    }
    
    // Once reached the right end
    // jump to the last track that
    // is needed to be serviced in
    // left direction
    seek_count += Math.Abs(head - left[0]);
    head = left[0];
    
    // Now service the requests again
    // which are left
    for(int i = 0; i < left.Count; i++)
    {
        cur_track = left[i];
    
        // Appending current track to
        // seek sequence
        seek_sequence.Add(cur_track);
    
        // Calculate absolute distance
        distance = Math.Abs(cur_track - head);
    
        // Increase the total count
        seek_count += distance;
    
        // Accessed track is now the new head
        head = cur_track;
    }
      
    Console.WriteLine("Total number of seek " +
                      "operations = " + seek_count);
    
    Console.WriteLine("Seek Sequence is");
    
    for(int i = 0; i < seek_sequence.Count; i++)
    {
        Console.WriteLine(seek_sequence[i]);
    }
}
 
// Driver code
static void Main()
{
     
    // Request array
    int[] arr = { 176, 79, 34, 60,
                  92, 11, 41, 114 };
    int head = 50;
    
    Console.WriteLine("Initial position of head: " +
                      head);
    
    CLOOK(arr, head);
}
}
 
// This code is contributed by divyeshrabadiya07

                    

Javascript

<script>
 
    // Javascript implementation of the approach
     
    let size = 8;
     
    // Function to perform C-LOOK on the request
    // array starting from the given head
    function CLOOK(arr, head)
    {
        let seek_count = 0;
        let distance, cur_track;
 
        let left = [];
        let right = [];
        let seek_sequence = [];
 
        // Tracks on the left of the
        // head will be serviced when
        // once the head comes back
        // to the beginning (left end)
        for(let i = 0; i < size; i++)
        {
            if (arr[i] < head)
                left.push(arr[i]);
            if (arr[i] > head)
                right.push(arr[i]);
        }
 
        // Sorting left and right vectors
        left.sort(function(a, b){return a - b});
        right.sort(function(a, b){return a - b});
 
        // First service the requests
        // on the right side of the
        // head
        for(let i = 0; i < right.length; i++)
        {
            cur_track = right[i];
 
            // Appending current track
            // to seek sequence
            seek_sequence.push(cur_track);
 
            // Calculate absolute distance
            distance = Math.abs(cur_track - head);
 
            // Increase the total count
            seek_count += distance;
 
            // Accessed track is now new head
            head = cur_track;
        }
 
        // Once reached the right end
        // jump to the last track that
        // is needed to be serviced in
        // left direction
        seek_count += Math.abs(head - left[0]);
        head = left[0];
 
        // Now service the requests again
        // which are left
        for(let i = 0; i < left.length; i++)
        {
            cur_track = left[i];
 
            // Appending current track to
            // seek sequence
            seek_sequence.push(cur_track);
 
            // Calculate absolute distance
            distance = Math.abs(cur_track - head);
 
            // Increase the total count
            seek_count += distance;
 
            // Accessed track is now the new head
            head = cur_track;
        }
 
        document.write("Total number of seek " +
                          "operations = " + seek_count + "</br>");
 
        document.write("Seek Sequence is" + "</br>");
 
        for(let i = 0; i < seek_sequence.length; i++)
        {
            document.write(seek_sequence[i] + "</br>");
        }
    }
     
    // Request array
    let arr = [ 176, 79, 34, 60, 92, 11, 41, 114 ];
    let head = 50;
     
    document.write("Initial position of head: " + head + "</br>");
     
    CLOOK(arr, head);
     
</script>

                    

Output:

Initial Position of Head: 50
Total Number of Seek Operations: 321
Seek Sequence: 60, 79, 92, 114, 176, 11, 34, 41

FAQs On C-LOOK Disk Scheduling Algorithm

Q.1: In what terms C-Look Algorithm is better than other SCAN Algorithms?

Answer:

C-Look is better than other SCAN Algorithms because, in this algorithm, the head is not allowed to move till the end of the task.

Q.2: Which Disk Scheduling Algorithm has the best performance over all other Disk Scheduling Algorithms?

Answer:

C-Look Disk Scheduling Algorithm has the best performance over all other Disk Scheduling Algorithms.



Last Updated : 03 Aug, 2023
Like Article
Save Article
Previous
Next
Share your thoughts in the comments
Similar Reads