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326 lines
12 KiB
326 lines
12 KiB
#! /usr/bin/env python
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import sys
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from optparse import OptionParser
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import random
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# finds the highest nonempty queue
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# -1 if they are all empty
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def FindQueue():
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q = hiQueue
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while q > 0:
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if len(queue[q]) > 0:
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return q
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q -= 1
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if len(queue[0]) > 0:
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return 0
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return -1
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def LowerQueue(currJob, currQueue, issuedIO):
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if currQueue > 0:
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# in this case, have to change the priority of the job
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job[currJob]['currPri'] = currQueue - 1
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if issuedIO == False:
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queue[currQueue-1].append(currJob)
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job[currJob]['ticksLeft'] = quantum[currQueue-1]
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else:
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if issuedIO == False:
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queue[currQueue].append(currJob)
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job[currJob]['ticksLeft'] = quantum[currQueue]
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def Abort(str):
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sys.stderr.write(str + '\n')
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exit(1)
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#
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# PARSE ARGUMENTS
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#
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parser = OptionParser()
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parser.add_option('-s', '--seed', default=0, help='the random seed',
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action='store', type='int', dest='seed')
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parser.add_option('-n', '--numQueues', help='number of queues in MLFQ (if not using -Q)', default=3,
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action='store', type='int', dest='numQueues')
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parser.add_option('-q', '--quantum', help='length of time slice (if not using -Q)', default=10,
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action='store', type='int', dest='quantum')
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parser.add_option('-Q', '--quantumList', help='length of time slice per queue level, specified as x,y,z,... where x is the quantum length for the highest priority queue, y the next highest, and so forth',
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default='', action='store', type='string', dest='quantumList')
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parser.add_option('-j', '--numJobs', default=3, help='number of jobs in the system',
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action='store', type='int', dest='numJobs')
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parser.add_option('-m', '--maxlen', default=100, help='max run-time of a job (if randomly generating)',
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action='store', type='int', dest='maxlen')
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parser.add_option('-M', '--maxio', default=10, help='max I/O frequency of a job (if randomly generating)',
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action='store', type='int', dest='maxio')
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parser.add_option('-B', '--boost', default=0, help='how often to boost the priority of all jobs back to high priority',
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action='store', type='int', dest='boost')
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parser.add_option('-i', '--iotime', default=5, help='how long an I/O should last (fixed constant)',
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action='store', type='int', dest='ioTime')
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parser.add_option('-S', '--stay', default=False, help='reset and stay at same priority level when issuing I/O',
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action='store_true', dest='stay')
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parser.add_option('-I', '--iobump', default=False, help='if specified, jobs that finished I/O move immediately to front of current queue',
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action='store_true', dest='iobump')
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parser.add_option('-l', '--jlist', default='', help='a comma-separated list of jobs to run, in the form x1,y1,z1:x2,y2,z2:... where x is start time, y is run time, and z is how often the job issues an I/O request',
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action='store', type='string', dest='jlist')
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parser.add_option('-c', help='compute answers for me', action='store_true', default=False, dest='solve')
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(options, args) = parser.parse_args()
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random.seed(options.seed)
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# MLFQ: How Many Queues
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numQueues = options.numQueues
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quantum = {}
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if options.quantumList != '':
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# instead, extract number of queues and their time slic
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quantumLengths = options.quantumList.split(',')
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numQueues = len(quantumLengths)
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qc = numQueues - 1
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for i in range(numQueues):
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quantum[qc] = int(quantumLengths[i])
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qc -= 1
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else:
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for i in range(numQueues):
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quantum[i] = int(options.quantum)
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hiQueue = numQueues - 1
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# MLFQ: I/O Model
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# the time for each IO: not great to have a single fixed time but...
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ioTime = int(options.ioTime)
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# This tracks when IOs and other interrupts are complete
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ioDone = {}
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# This stores all info about the jobs
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job = {}
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# seed the random generator
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random.seed(options.seed)
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# jlist 'startTime,runTime,ioFreq:startTime,runTime,ioFreq:...'
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jobCnt = 0
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if options.jlist != '':
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allJobs = options.jlist.split(':')
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for j in allJobs:
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jobInfo = j.split(',')
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if len(jobInfo) != 3:
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sys.stderr.write('Badly formatted job string. Should be x1,y1,z1:x2,y2,z2:...\n')
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sys.stderr.write('where x is the startTime, y is the runTime, and z is the I/O frequency.\n')
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exit(1)
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assert(len(jobInfo) == 3)
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startTime = int(jobInfo[0])
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runTime = int(jobInfo[1])
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ioFreq = int(jobInfo[2])
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job[jobCnt] = {'currPri':hiQueue, 'ticksLeft':quantum[hiQueue], 'startTime':startTime,
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'runTime':runTime, 'timeLeft':runTime, 'ioFreq':ioFreq, 'doingIO':False,
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'firstRun':-1}
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if startTime not in ioDone:
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ioDone[startTime] = []
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ioDone[startTime].append((jobCnt, 'JOB BEGINS'))
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jobCnt += 1
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else:
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# do something random
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for j in range(options.numJobs):
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startTime = 0
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runTime = int(random.random() * options.maxlen)
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ioFreq = int(random.random() * options.maxio)
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job[jobCnt] = {'currPri':hiQueue, 'ticksLeft':quantum[hiQueue], 'startTime':startTime,
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'runTime':runTime, 'timeLeft':runTime, 'ioFreq':ioFreq, 'doingIO':False,
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'firstRun':-1}
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if startTime not in ioDone:
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ioDone[startTime] = []
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ioDone[startTime].append((jobCnt, 'JOB BEGINS'))
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jobCnt += 1
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numJobs = len(job)
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print 'Here is the list of inputs:'
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print 'OPTIONS jobs', numJobs
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print 'OPTIONS queues', numQueues
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for i in range(len(quantum)-1,-1,-1):
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print 'OPTIONS quantum length for queue %2d is %3d' % (i, quantum[i])
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print 'OPTIONS boost', options.boost
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print 'OPTIONS ioTime', options.ioTime
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print 'OPTIONS stayAfterIO', options.stay
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print 'OPTIONS iobump', options.iobump
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print '\n'
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print 'For each job, three defining characteristics are given:'
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print ' startTime : at what time does the job enter the system'
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print ' runTime : the total CPU time needed by the job to finish'
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print ' ioFreq : every ioFreq time units, the job issues an I/O'
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print ' (the I/O takes ioTime units to complete)\n'
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print 'Job List:'
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for i in range(numJobs):
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print ' Job %2d: startTime %3d - runTime %3d - ioFreq %3d' % (i, job[i]['startTime'],
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job[i]['runTime'], job[i]['ioFreq'])
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print ''
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if options.solve == False:
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print 'Compute the execution trace for the given workloads.'
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print 'If you would like, also compute the response and turnaround'
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print 'times for each of the jobs.'
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print ''
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print 'Use the -c flag to get the exact results when you are finished.\n'
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exit(0)
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# initialize the MLFQ queues
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queue = {}
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for q in range(numQueues):
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queue[q] = []
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# TIME IS CENTRAL
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currTime = 0
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# use these to know when we're finished
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totalJobs = len(job)
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finishedJobs = 0
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print '\nExecution Trace:\n'
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while finishedJobs < totalJobs:
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# find highest priority job
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# run it until either
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# (a) the job uses up its time quantum
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# (b) the job performs an I/O
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# check for priority boost
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if options.boost > 0 and currTime != 0:
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if currTime % options.boost == 0:
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print '[ time %d ] BOOST ( every %d )' % (currTime, options.boost)
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# remove all jobs from queues (except high queue)
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for q in range(numQueues-1):
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for j in queue[q]:
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if job[j]['doingIO'] == False:
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queue[hiQueue].append(j)
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queue[q] = []
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# print 'BOOST: QUEUES look like:', queue
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# change priority to high priority
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# reset number of ticks left for all jobs (XXX just for lower jobs?)
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# add to highest run queue (if not doing I/O)
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for j in range(numJobs):
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# print '-> Boost %d (timeLeft %d)' % (j, job[j]['timeLeft'])
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if job[j]['timeLeft'] > 0:
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# print '-> FinalBoost %d (timeLeft %d)' % (j, job[j]['timeLeft'])
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job[j]['currPri'] = hiQueue
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job[j]['ticksLeft'] = quantum[hiQueue]
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# print 'BOOST END: QUEUES look like:', queue
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# check for any I/Os done
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if currTime in ioDone:
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for (j, type) in ioDone[currTime]:
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q = job[j]['currPri']
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job[j]['doingIO'] = False
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print '[ time %d ] %s by JOB %d' % (currTime, type, j)
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if options.iobump == False:
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queue[q].append(j)
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else:
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queue[q].insert(0, j)
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# now find the highest priority job
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currQueue = FindQueue()
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if currQueue == -1:
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print '[ time %d ] IDLE' % (currTime)
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currTime += 1
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continue
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#print 'FOUND QUEUE: %d' % currQueue
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#print 'ALL QUEUES:', queue
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# there was at least one runnable job, and hence ...
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currJob = queue[currQueue][0]
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if job[currJob]['currPri'] != currQueue:
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Abort('currPri[%d] does not match currQueue[%d]' % (job[currJob]['currPri'], currQueue))
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job[currJob]['timeLeft'] -= 1
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job[currJob]['ticksLeft'] -= 1
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if job[currJob]['firstRun'] == -1:
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job[currJob]['firstRun'] = currTime
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runTime = job[currJob]['runTime']
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ioFreq = job[currJob]['ioFreq']
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ticksLeft = job[currJob]['ticksLeft']
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timeLeft = job[currJob]['timeLeft']
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print '[ time %d ] Run JOB %d at PRIORITY %d [ TICKSLEFT %d RUNTIME %d TIMELEFT %d ]' % (currTime, currJob, currQueue, ticksLeft, runTime, timeLeft)
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if timeLeft < 0:
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Abort('Error: should never have less than 0 time left to run')
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# UPDATE TIME
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currTime += 1
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# CHECK FOR JOB ENDING
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if timeLeft == 0:
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print '[ time %d ] FINISHED JOB %d' % (currTime, currJob)
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finishedJobs += 1
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job[currJob]['endTime'] = currTime
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# print 'BEFORE POP', queue
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done = queue[currQueue].pop(0)
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# print 'AFTER POP', queue
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assert(done == currJob)
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continue
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# CHECK FOR IO
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issuedIO = False
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if ioFreq > 0 and (((runTime - timeLeft) % ioFreq) == 0):
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# time for an IO!
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print '[ time %d ] IO_START by JOB %d' % (currTime, currJob)
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issuedIO = True
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desched = queue[currQueue].pop(0)
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assert(desched == currJob)
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job[currJob]['doingIO'] = True
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# this does the bad rule -- reset your tick counter if you stay at the same level
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if options.stay == True:
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job[currJob]['ticksLeft'] = quantum[currQueue]
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# add to IO Queue: but which queue?
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futureTime = currTime + ioTime
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if futureTime not in ioDone:
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ioDone[futureTime] = []
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ioDone[futureTime].append((currJob, 'IO_DONE'))
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# print 'NEW IO EVENT at ', futureTime, ' is ', ioDone[futureTime]
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# CHECK FOR QUANTUM ENDING AT THIS LEVEL
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if ticksLeft == 0:
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# print '--> DESCHEDULE %d' % currJob
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if issuedIO == False:
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# print '--> BUT IO HAS NOT BEEN ISSUED (therefor pop from queue)'
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desched = queue[currQueue].pop(0)
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assert(desched == currJob)
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# move down one queue! (unless lowest queue)
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LowerQueue(currJob, currQueue, issuedIO)
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# print out statistics
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print ''
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print 'Final statistics:'
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responseSum = 0
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turnaroundSum = 0
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for i in range(numJobs):
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response = job[i]['firstRun'] - job[i]['startTime']
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turnaround = job[i]['endTime'] - job[i]['startTime']
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print ' Job %2d: startTime %3d - response %3d - turnaround %3d' % (i, job[i]['startTime'],
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response, turnaround)
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responseSum += response
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turnaroundSum += turnaround
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print '\n Avg %2d: startTime n/a - response %.2f - turnaround %.2f' % (i,
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float(responseSum)/numJobs,
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float(turnaroundSum)/numJobs)
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print '\n'
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