tasksetgen.py 9.24 KB
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#!/usr/bin/env python3

"""
Generates real time tasksets according to the method described in 'A Comparison
of Global and Partitioned EDF Schedulability Tests for Multiprocessors'.
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Therefore tasks with random periods within the range 1 to 100 are generated.
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Depending on the mode, the utilization of these tasks is either determined by
* uniform distribution between 1/period and 1
* bimodal distribution heavy tasks with uniform distribution between 0.5 / 1 and
light tasks uniform between 0.1 and 0.5 where the probability of being heavy
is 1/3
* exponential distribution with mean 0.25
* exponential distribution with mean 0.50
"""

import datetime
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import shutil
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import sys
import os
import random
import argparse
import json
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import math
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from enum import Enum

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def query_yes_no(question, default=None):
    """
    Queries the user for a decision.
    """

    if default is None:
        prompt = ' [y/n]'
    elif default.lower() == 'yes':
        prompt = ' [Y/n]'
    elif default.lower() == 'no':
        prompt = ' [y/N]'
    else:
        raise ValueError('Invalid default answer {}'.format(default))

    while True:
        print(question, prompt, end='')
        choice = input().lower()
        if 'yes'.find(choice) == 0:
            return True
        elif 'no'.find(choice) == 0:
            return False

def lcm(a, b):
    return (a * b) / math.gcd(a, b)

def hyperperiod(tasks):
    periods = [x.period for task in tasks]
    hyperperiod = periods[0]
    for period in periods[1:]:
        hyperperiod = lcm(hyperperiod, period)
    return hyperperiod

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class Timebase(Enum):
    seconds = 1
    milliseconds = 2
    microseconds = 3
    nanoseconds = 4

class Distribution(Enum):
    uniform = 1
    bimodal = 2
    exp_quart = 3
    exp_half = 4

class Task:
    """
    Representation of a generated task.
    """
    def __init__(self, wcet, period, deadline):
        self.wcet = int(wcet)
        self.period = int(period)
        self.deadline = int(deadline)

def check_taskset(procs, tasklist):
    sum = 0
    for task in tasklist:
        sum += task.wcet / task.period
    return sum

def get_timebase_string(base):
    if base is Timebase.seconds:
        return 'std::chrono::seconds', 'embb::base::DurationSeconds'
    elif base is Timebase.milliseconds:
        return 'std::chrono::milliseconds', 'embb::base::DurationMilliseconds'
    elif base is Timebase.microseconds:
        return 'std::chrono::microseconds', 'embb::base::DurationMicroseconds'
    elif base is Timebase.nanoseconds:
        return 'std::chrono::nanoseconds', 'embb::base::DurationNanoseconds'

def create_task(distribution):
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    period = random.uniform(1, 30)
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    if distribution is Distribution.uniform:
        util = random.uniform(1.0 / period, 1.0)
    elif distribution is Distribution.bimodal:
        check = random.uniform(0.0, 1.0)
        if check < 1 / 3:
            util = random.uniform(0.5, 1.0)
        else:
            util = random.uniform(1.0 / period, 1.0)
    elif distribution is Distribution.exp_quart:
        util = random.expovariant(1.0 / 0.25)
    elif distribution is Distribution.exp_half:
        util = random.expovariant(1.0 / 0.5)
    util = min(1.0, max(0.0, util))
    wcet = period * util

    deadline = random.uniform(wcet, period)

    return Task(wcet, period, deadline)

def main():
    parser = argparse.ArgumentParser(description='Generate tasksets.')
    parser.add_argument('cores', type=int, help='Number of cores the taskset'
                                                'should be generated for.')
    parser.add_argument('tasksetcount', type=int, help='Number of tasksets that'
                                                       'should be generated.')
    parser.add_argument('target', type=str, help='Output directory.', nargs='?',
                        default='.')
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    parser.add_argument('experiment_target', type=str, help='Output directory for experiments.', nargs='?',
                        default='.')
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    parser.add_argument('--baseclock', type=str, default='system_clock',
                        nargs='?',
                        help='The clock which is to be used for the execution.')

    timebase_grp = parser.add_mutually_exclusive_group(required=True)
    timebase_grp.add_argument('--seconds', action='store_const',
                              const=Timebase.seconds)
    timebase_grp.add_argument('--milliseconds', action='store_const',
                              const=Timebase.milliseconds)
    timebase_grp.add_argument('--microseconds', action='store_const',
                              const=Timebase.microseconds)
    timebase_grp.add_argument('--nanoseconds', action='store_const',
                              const=Timebase.nanoseconds)

    distr_grp = parser.add_mutually_exclusive_group()
    distr_grp.add_argument('--uniform', action='store_const',
                           const=Distribution.uniform)
    distr_grp.add_argument('--bimodal', action='store_const',
                           const=Distribution.bimodal)
    distr_grp.add_argument('--exp_quart', action='store_const',
                           const=Distribution.exp_quart)
    distr_grp.add_argument('--exp_half', action='store_const',
                           const=Distribution.exp_half)

    args = parser.parse_args()

    if args.seconds is not None:
        timebase = args.seconds
    elif args.milliseconds is not None:
        timebase = args.milliseconds
    elif args.microseconds is not None:
        timebase = args.microseconds
    elif args.nanoseconds is not None:
        timebase = args.nanoseconds

    if args.uniform is not None:
        distribution = args.uniform
    elif args.bimodal is not None:
        distribution = args.bimodal
    elif args.exp_quart is not None:
        distribution = args.exp_quart
    elif args.exp_half is not None:
        distribution = args.exp_half
    else:
        distribution = Distribution.uniform

    print('Generating tasks…', file=sys.stderr)
    tasksets = []
    while len(tasksets) < args.tasksetcount:
        taskset = []
        while len(taskset) < args.cores + 1 or \
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              check_taskset(args.cores, taskset) <= 1 and \
              hyperperiod(taskset) < 300000: # Limit hyperperiod to 5 minutes
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            taskset.append(create_task(distribution))
            if len(taskset) >= args.cores + 1:
                tasksets.append(taskset)

    now = datetime.datetime.now()

    cpp_base, embb_base = get_timebase_string(timebase)

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    try:
        os.makedirs(args.target)
    except FileExistsError:
        if not query_yes_no('Folder exists, remove?', default='yes'):
            sys.exit(1)
    shutil.rmtree(args.target)
    os.makedirs(args.target)

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    print('Writing tasks…', file=sys.stderr)
    for taskset in tasksets:
        task_out = []
        for task in taskset:
            out = {}
            out['wcet'] = task.wcet
            out['period'] = task.period
            out['deadline'] = task.deadline
            task_out.append(out)

        utilization = str(round(check_taskset(args.cores, taskset), 2))
        utilization.replace('.', '_')

        name = 'taskset_{}_{}_{}'.format(now.strftime('%Y_%m_%d'),
                                                len(taskset),
                                                utilization)

        out = {}
        out['name'] = name
        out['template'] = 'templates/normal/'
        out['includes'] = [ { 'name' : '<embb/base/duration.h>' } ]
        out['cpp_time_base'] = cpp_base
        out['embb_time_base'] = embb_base
        out['base_clock'] = 'std::chrono::system_clock'
        out['data_description'] = [
                                    { 'name' : 'task',
                                      'fields' : [
                                                    {
                                                        'type' : 'int',
                                                        'name' : 'wcet'
                                                    },
                                                    {
                                                        'type' : 'int',
                                                        'name' : 'period'
                                                    },
                                                    {
                                                        'type' : 'int',
                                                        'name' : 'deadline'
                                                    },
                                                    {
                                                        'type' : 'int',
                                                        'name' : 'count'
                                                    }
                                                 ]
                                    }
                                  ]
        out['data'] = [
                          {
                              'type' : 'task',
                              'name' : 'taskset',
                              'elem' : task_out
                          }
                      ]
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        try:
            out['output'] = args.experiment_target
        except KeyError:
            pass
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        outname = os.path.join(args.target, name + '.json')
        with open(outname, 'w') as outfile:
            outfile.write(json.dumps(out))

if __name__ == '__main__':
    main()