-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathtask.py
More file actions
205 lines (178 loc) · 6.96 KB
/
task.py
File metadata and controls
205 lines (178 loc) · 6.96 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
import time
import logging
import math
import random
from config import *
from utils import *
class TaskArrival(Event):
""" Event to signify a job arriving at a scheduler. """
def __init__(
self,
simulation,
interarrival_delay,
num_tasks,
task_type,
):
self.simulation = simulation
self.interarrival_delay = float(interarrival_delay)
self.num_tasks = int(num_tasks)
self.task_type = int(task_type)
# self.task_distribution= task_distribution
def run(self, current_time):
#print("Running task arrival event")
s_time = 0
num_tasks = 0
task_type = 0
last_task = 0
last_start_time = 0
task = Task(current_time, self.num_tasks, self.task_type)
self.simulation.tasks[task.id] = task
logging.getLogger('sim').debug('Job %s arrived at %s'
% (task.id, current_time))
# Queue the task to task schedular.
new_events = []
self.simulation.task_queue.put(task)
#print("Task Queue size: {}, is empty?:{}".format(self.simulation.task_queue.qsize(), self.simulation.task_queue.empty()))
self.simulation.num_queued_tasks = self.simulation.num_queued_tasks + self.num_tasks
line = self.simulation.workload_file_hdl.readline()
if line == '':
print('workload finished')
self.simulation.end_of_file = 1
return new_events
else:
if self.simulation.workload_type == "tweeter_BATCH":
s_time = float(line.split('\n')[0])
num_tasks = 1
task_type = 1
else:
s_time = float(line.split(',')[0])
num_tasks = line.split(',')[3]
task_type = line.split(',')[2]
autolog("TaskArrival event")
if(s_time <= 36000):
new_events.append(((s_time * 1000), TaskArrival(self.simulation,
s_time * 1000, num_tasks, task_type)))
else:
self.simulation.end_of_file = 1
self.simulation.next_task_time = s_time*1000
logging.getLogger('sim').debug('Retuning %s events'
% len(new_events))
#print ("task arrival new events", new_events)
# return (new_events, True)
return new_events
class TaskEndEvent:
def __init__(self, worker):
self.worker = worker
def run(self, current_time):
#print ("task end event", current_time)
self.worker.isIdle = True
self.worker.lastIdleTime = current_time
self.worker.next_available_time = current_time
if (self.worker.used_slots > 0):
self.worker.used_slots -= 1
return []
class EndOfFileEvent(Event):
"""docstring for EndOfFileEvent"""
def __init__(self, simulation, start_time):
#super(EndOfFileEvent, self).__init__()
self.simulation = simulation
self.start_time = start_time
def run(self):
# return (None, False)
return None
class SleepEndEvent(Event):
def __init__(self, simulation, start_time, condition):
self.cond = condition
self.simulation = simulation
self.start_time = start_time
def run(self):
with self.cond:
self.cond.notify_all()
new_events = []
# Now we need to wait for scheduler to enueue its events
with self.simulation.simulation_cond:
self.simulation.simulation_cond.wait()
logging.debug("simulation.event_queue size:",self.simulation.event_queue.qsize())
# return (new_events, True)
return new_events
class SleepStartEvent(Event):
"""docstring for SleepStartEvent"""
def __init__(self, simulation, start_time):
super(SleepStartEvent, self).__init__()
self.cond = multiprocessing.Condition()
self.simulation = simulation
self.start_time = start_time
def run(self):
line = self.simulation.workload_file_hdl.readline()
s_time = 0
num_tasks = 0
task_type = 0
last_task = 0
last_start_time = 0
while True:
#print line
if line == '':
print('task empty')
last_task = 1
break
else:
if self.simulation.workload_type == "tweeter_BATCH":
s_time = float(line.split('\n')[0])
num_tasks = 1
task_type = 1
else:
s_time = float(line.split(',')[0])
num_tasks = line.split(',')[3]
task_type = line.split(',')[2]
if (s_time <= (self.start_time/1000)):
new_events.append((s_time * 1000, TaskArrival(self.simulation, s_time*1000, num_tasks, task_type)))
else:
new_events.append((self.start_time*1000,SleepEndEvent(self.simulation, start_time*1000, self.cond)))
#TODO Check this logic again
new_events.append((s_time * 1000, TaskArrival(self.simulation, s_time*1000, num_tasks, task_type)))
break
last_start_time = s_time
line = self.simulation.workload_file_hdl.readline()
if (last_task):
# Randomly add time
new_events.append(((last_start_time + 100) * 1000, EndOfFileEvent(self.simulation, (last_start_time + 100)*1000)))
#
#print "adding new task",int(start_time*1000), num_tasks, task_type
# new_task = Task(self, line, 1000, start_time, num_tasks, task_type)
for new_event in new_events:
(current_time, event) = new_event
self.simulation.event_queue.put(PrioritizedItem(current_time, event))
#return ([],True) #Since we already added the events so returning empty list
return []
class Task(object):
task_count = 0
def __init__(
self,
start_time,
num_tasks,
task_type,
):
self.id = int(Task.task_count)
Task.task_count += 1
self.start_time = start_time
self.num_tasks = num_tasks
self.task_type = task_type
self.end_time = start_time
self.completed_tasks = 0
self.lambda_tasks = 0
self.vm_tasks = 0
self.exec_time = 0
# if task_type == 0:
# self.exec_time = 400
# self.mem = 1024
# if task_type == 1:
# self.exec_time = 400
# self.mem = 2024
# if task_type == 2:
# self.exec_time = 950
# self.mem = 3048
def task_completed(self, completion_time, num_of_tasks_completed):
self.completed_tasks += num_of_tasks_completed
self.end_time = max(completion_time, self.end_time)
assert self.completed_tasks <= self.num_tasks
return self.num_tasks == self.completed_tasks