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diskScheduling.py
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from heapq import *
from handleFile import *
def SSTF(hp, reqs):
requests = reqs.copy()
time = 0
position = hp
heap = []
distance = []
distance.append(hp)
while len(requests) > 0:
for r in requests:
heappush(heap, (abs(position-r), r))
x = heappop(heap)[1]
time += abs(position-x)
position = x
distance.append(x)
requests.remove(x)
heap = []
# calculate average seek time
save('total', time, 'distance', distance)
def SCAN(hp, reqs):
requests = reqs.copy()
pos = hp
time = 0
end = 200
start = 0
distance = []
distance.append(hp)
for i in range(pos, end+1):
if i in requests:
time += abs(pos-i)
pos = i
distance.append(i)
requests.remove(i)
time += abs(pos-end)
pos = end
for i in range(end, start-1, -1):
if i in requests:
time += abs(pos-i)
pos = i
distance.append(i)
requests.remove(i)
save('total', time, 'distance', distance)
def FCFS(hp, requests):
time = 0
pos = hp
distance = []
distance.append(hp)
for request in requests:
time += abs(request-pos)
pos = request
distance.append(pos)
# calculate average seek time
save('total', time, 'distance', distance)
def C_SCAN(hp, reqs):
requests = reqs.copy()
pos = hp
time = 0
end = 200
start = 0
distance = []
distance.append(hp)
# seek from curr_pos to end which is 200
for i in range(pos, end+1):
if i in requests:
time += abs(pos-i)
pos = i
distance.append(i)
requests.remove(i)
time += abs(pos-end)
pos = end
# seek to hp from start
for i in range(start, hp+1):
if i in requests:
time += abs(pos-i)
pos = i
distance.append(i)
requests.remove(i)
# calculate average seek time
save('total', time, 'distance', distance)
def LOOK(hp, reqs):
requests = reqs.copy()
pos = hp
time = 0
end = max(requests)
start = min(requests)
distance = []
distance.append(hp)
# seek from curr_pos to end which is 200
for i in range(pos, end+1):
if i in requests:
time += abs(pos-i)
pos = i
distance.append(i)
requests.remove(i)
# seek back to start
for i in range(end, start-1, -1):
if i in requests:
time += abs(pos-i)
pos = i
distance.append(i)
requests.remove(i)
# calculate average seek time
save('total', time, 'distance', distance)
def C_LOOK(hp, reqs):
requests = reqs.copy()
pos = hp
time = 0
end = max(requests)
start = min(requests)
distance = []
distance.append(hp)
# seek from curr_pos to max of list
for i in range(pos, end+1):
if i in requests:
time += abs(pos-i)
pos = i
distance.append(i)
requests.remove(i)
time += abs(pos-start)
pos = start
# seek to hp from start
for i in range(start, hp+1):
if i in requests:
time += abs(pos-i)
pos = i
distance.append(i)
requests.remove(i)
# calculate average seek time
save('total', time, 'distance', distance)