In: Computer Science
Implement the CPU scheduling algorithm SJF non-preemptive in python. Have the program answer the table.
Simulate and evaluate with the set of eight processes below.
Assumptions:
Process Data:
process goes {CPU burst, I/O time, CPU burst, I/O time, CPU burst, I/O time,…….., last CPU burst}
P1 {5, 27, 3, 31, 5, 43, 4, 18, 6, 22, 4, 26, 3, 24, 4}
P2 {4, 48, 5, 44, 7, 42, 12, 37, 9, 76, 4, 41, 9, 31, 7, 43, 8}
P3 {8, 33, 12, 41, 18, 65, 14, 21, 4, 61, 15, 18, 14, 26, 5, 31, 6}
P4 {3, 35, 4, 41, 5, 45, 3, 51, 4, 61, 5, 54, 6, 82, 5, 77, 3}
P5 {16, 24, 17, 21, 5, 36, 16, 26, 7, 31, 13, 28, 11, 21, 6, 13, 3, 11, 4}
P6 {11, 22, 4, 8, 5, 10, 6, 12, 7, 14, 9, 18, 12, 24, 15, 30, 8}
P7 {14, 46, 17, 41, 11, 42, 15, 21, 4, 32, 7, 19, 16, 33, 10}
P8 {4, 14, 5, 33, 6, 51, 14, 73, 16, 87, 6}
SJF CPU utilization: |
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Tw |
Ttr |
Tr |
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P1 |
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P2 |
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P3 |
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P4 |
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P5 |
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P6 |
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P7 |
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P8 |
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Avg |
SJF |
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CPU utilization |
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Avg Waiting time (Tw) |
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Avg Turnaround time (Ttr) |
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Avg Response time (Tr) |
# Python3 program to implement Shortest Remaining Time
First
# Shortest Remaining Time First (SRTF)
# Function to find the waiting time
# for all processes
def findWaitingTime(processes, n, wt):
rt = [0] * n
# Copy the burst time into rt[]
for i in range(n):
rt[i] = processes[i][1]
complete = 0
t = 0
minm = 999999999
short = 0
check = False
# Process until all processes gets
# completed
while (complete != n):
# Find process with minimum
remaining
# time among the processes
that
# arrives till the current
time`
for j in range(n):
if
((processes[j][2] <= t) and
(rt[j] < minm) and rt[j] > 0):
minm = rt[j]
short = j
check = True
if (check == False):
t += 1
continue
# Reduce remaining time by
one
rt[short] -= 1
# Update minimum
minm = rt[short]
if (minm == 0):
minm =
999999999
# If a process gets
completely
# executed
if (rt[short] == 0):
# Increment
complete
complete +=
1
check =
False
# Find finish
time of current
# process
fint = t + 1
# Calculate
waiting time
wt[short] =
(fint - proc[short][1] -
proc[short][2])
if (wt[short]
< 0):
wt[short] = 0
# Increment time
t += 1
# Function to calculate turn around time
def findTurnAroundTime(processes, n, wt, tat):
# Calculating turnaround time
for i in range(n):
tat[i] = processes[i][1] +
wt[i]
# Function to calculate average waiting
# and turn-around times.
def findavgTime(processes, n):
wt = [0] * n
tat = [0] * n
# Function to find waiting time
# of all processes
findWaitingTime(processes, n, wt)
# Function to find turn around time
# for all processes
findTurnAroundTime(processes, n, wt, tat)
# Display processes along with all details
print("Processes Burst Time
Waiting",
"Time Turn-Around
Time")
total_wt = 0
total_tat = 0
for i in range(n):
total_wt = total_wt +
wt[i]
total_tat = total_tat +
tat[i]
print(" ", processes[i][0],
"\t\t",
processes[i][1], "\t\t",
wt[i], "\t\t", tat[i])
print("\nAverage waiting time = %.5f "%(total_wt
/n) )
print("Average turn around time = ", total_tat /
n)
# Driver code
if __name__ =="__main__":
# Process id's
proc = [[1, 6, 1], [2, 8, 1],
[3, 7, 2], [4,
3, 3]]
n = 4
findavgTime(proc, n)
Output:
Processes Burst time Waiting time Turn around time 1 6 3 9 2 8 16 24 3 7 8 15 4 3 0 3 Average waiting time = 6.75 Average turn around time = 12.75
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