def __init__(self, sim):
"""
Args:
- `sim`: The :class:`model <simso.core.Model.Model>` object.
"""
self.sim = sim
self._logs = Monitor(name="Logs", sim=sim)
def __init__(self, model, proc_info):
Process.__init__(self, name=proc_info.name, sim=model)
self._model = model
self._internal_id = Processor._identifier
Processor._identifier += 1
self.identifier = proc_info.identifier
# EDIT currently running time partition
self._time_part = False
self._running_inst = None
self._evts_inst = deque([])
self._sched_part = None
self._running = None
self.was_running = None
self._evts = deque([])
self.sched = model.scheduler
self.monitor = Monitor(name="Monitor" + proc_info.name, sim=model)
self._caches = []
self._penalty = proc_info.penalty
self._cs_overhead = proc_info.cs_overhead
self._cl_overhead = proc_info.cl_overhead
self._migration_overhead = proc_info.migration_overhead
self.set_caches(proc_info.caches)
self.timer_monitor = Monitor(name="Monitor Timer" + proc_info.name,
sim=model)
self._speed = proc_info.speed
class Logger(object):
"""
Simple logger. Every message is logged with its date.
"""
def __init__(self, sim):
"""
Args:
- `sim`: The :class:`model <simso.core.Model.Model>` object.
"""
self.sim = sim
self._logs = Monitor(name="Logs", sim=sim)
def log(self, msg, kernel=False):
"""
Log the message `msg`.
Args:
- `msg`: The message to log.
- `kernel`: Allows to make a distinction between a message from \
the core of the simulation or from the scheduler.
"""
self._logs.observe((msg, kernel))
@property
def logs(self):
"""
The logs, a SimPy Monitor object.
"""
return self._logs
def run(self, aseed):
self.initialize()
seed(aseed)
self.k = Resource(capacity=Nc, name="Clerk", sim=self)
self.wM = Monitor(sim=self)
s = Source('Source', sim=self)
self.activate(s, s.generate(number=maxNumber, interval=ARRint), at=0.0)
self.simulate(until=maxTime)
return (self.wM.count(), self.wM.mean())
class BankModel(Simulation):
def run(self,aseed):
self.initialize()
seed(aseed)
self.k = Resource(capacity=Nc,name="Clerk",sim=self)
self.wM = Monitor(sim=self)
s = Source('Source',sim=self)
self.activate(s,s.generate(number=maxNumber,interval=ARRint),at=0.0)
self.simulate(until=maxTime)
return (self.wM.count(),self.wM.mean())
def __init__(self, sim, scheduler_info, **kwargs):
"""
Args:
- `sim`: :class:`Model <simso.core.Model>` instance.
- `scheduler_info`: A :class:`SchedulerInfo` representing the \
scheduler.
Attributes:
- **sim**: :class:`Model <simso.core.Model.Model>` instance. \
Useful to get current time with ``sim.now_ms()`` (in ms) or \
``sim.now()`` (in cycles).
- **processors**: List of :class:`processors \
<simso.core.Processor.Processor>` handled by this scheduler.
- **task_list**: List of :class:`tasks <simso.core.Task.GenericTask>` \
handled by this scheduler.
Methods:
"""
self.sim = sim
self.processors = []
self.task_list = []
self._lock = False
self.overhead = scheduler_info.overhead
self.overhead_activate = scheduler_info.overhead_activate
self.overhead_terminate = scheduler_info.overhead_terminate
self.data = scheduler_info.data
self.monitor = Monitor(name="MonitorScheduler", sim=sim)
def __init__(self, sim, task_info):
"""
Args:
- `sim`: :class:`Model <simso.core.Model>` instance.
- `task_info`: A :class:`TaskInfo` representing the Task.
:type sim: Model
:type task_info: TaskInfo
"""
Process.__init__(self, name=task_info.name, sim=sim)
self.name = task_info.name
self._task_info = task_info
self._monitor = Monitor(name="Monitor" + self.name + "_states",
sim=sim)
self._activations_fifo = deque([])
self._sim = sim
self.cpu = None
self._etm = sim.etm
self._job_count = 0
self._last_cpu = None
self._cpi_alone = {}
self._jobs = []
self.job = None
# other tasks executed after it is preempted
self._other_tasks = []
def run(self, aseed):
""" PEM """
seed(aseed)
self.counter = Resource(1, name="Clerk", sim=self)
self.Mon = Monitor('Time in the Bank', sim=self)
source = Source(sim=self)
self.activate(source, source.generate(number=20, rate=0.1), at=0.0)
self.simulate(until=maxTime)
def run(self, aseed):
""" PEM """
seed(aseed)
self.k = Resource(capacity=Nc, name="Clerk", sim=self)
self.wM = Monitor(sim=self)
s = Source('Source', sim=self)
self.activate(s, s.generate(number=maxNumber, interval=ARRint), at=0.0)
self.simulate(until=maxTime)
def __init__(self, model, proc_info):
Process.__init__(self, name=proc_info.name, sim=model)
self._model = model
self._internal_id = Processor._identifier
Processor._identifier += 1
self.identifier = proc_info.identifier
self._running = None
self.was_running = None
self._evts = deque([])
self.sched = model.scheduler
self.monitor = Monitor(name="Monitor" + proc_info.name, sim=model)
self._caches = []
self._penalty = proc_info.penalty
self._cs_overhead = proc_info.cs_overhead
self._cl_overhead = proc_info.cl_overhead
self._migration_overhead = proc_info.migration_overhead
self.set_caches(proc_info.caches)
self.timer_monitor = Monitor(name="Monitor Timer" + proc_info.name,
sim=model)
self._speed = proc_info.speed
def __init__(self,
registry_type=Registry,
broker_means=dists.normal(0.05),
**kw):
super(MdsModel, self).__init__(**kw)
regions = self.graph.regions
self.regions = [i for i in range(regions[0] * regions[1])]
self.brokers = dict()
for r in self.regions:
node = self.random_region_node(r)
node.server.service_time = self.service_dist(broker_means())
broker = Broker(r, node, registry_type(), 60, self.brokers)
# give them an intitial picture of the grid
for node in self.graph.nodes_in_region(r):
state = ResourceState(node.resource_agent, node.resource.free)
broker.registry.update_state(state)
self.brokers[r] = broker
for node in self.graph.nodes_iter():
node.broker = self.brokers[node.region]
# this nodes resource agent
node.resource_agent = MdsResourceAgent(node, 30)
# mapping of jobagents at this node
# make a link to fast comms to the broker
self.graph.make_link(node, node.broker.node)
# ensure brokers have fast links to each other
for i, broker in enumerate(self.brokers.itervalues()):
for other in self.brokers.values()[i:]:
self.graph.make_link(broker.node, other.node)
self.mons["broker_util"] = Monitor("broker_util")
self.mons["broker_queue"] = Monitor("broker_queue")
class GridResource(object):
def __init__(self, node, capacity):
self.node = node
self.capacity = capacity
self.jobs = set()
self.util = Monitor("Resource %d utilisation" % node.id)
self.util.observe(0,0)
def can_allocate(self, job):
return job.size <= self.free
def start(self, job, confirm_process):
assert self.can_allocate(job)
self.jobs.add(job)
self.util.observe(self.load)
# the job will complete and remove itself at the right time
job.start(job.execute(self, confirm_process))
def cancel(self, job):
self.remove(job)
# cancel previously scheduled finish event, w/SimPy work arround
canceller = Process()
canceller.cancel(job)
def remove(self, job):
assert job in self.jobs
self.jobs.remove(job)
self.util.observe(self.load)
@property
def used(self):
return sum(job.size for job in self.jobs)
@property
def free(self):
return self.capacity - self.used
@property
def load(self):
return self.used / float(self.capacity)
@property
def utilisation(self):
return self.util.timeAverage()
def current_util(self, tlast):
return stats.timeslice_average(self.util, tlast)
from SimPy.Simulation import Monitor
from random import expovariate
m = Monitor() # define the Monitor object, m
for i in range(1000): # make the observations
y = expovariate(0.1)
m.observe(y)
# set up and return the completed histogram
h = m.histogram(low=0.0, high=20, nbins=30)
def tally(self, x):
Monitor.tally(self, x)
self.min = min(self.min, x)
self.max = max(self.max, x)
def __init__(self):
Monitor.__init__(self)
self.min, self.max = (int(2**31-1),0)
class Processor(Process):
"""
A processor is responsible of deciding whether the simulated processor
should execute a job or execute the scheduler. There is one instance of
Processor per simulated processor. Those are responsible to call the
scheduler methods.
When a scheduler needs to take a scheduling decision, it must invoke the
:meth:`resched` method. This is typically done in the :meth:`on_activate
<simso.core.Scheduler.Scheduler.on_activate>`, :meth:`on_terminated
<simso.core.Scheduler.Scheduler.on_terminated>` or in a :class:`timer
<simso.core.Timer.Timer>` handler.
"""
_identifier = 0
@classmethod
def init(cls):
cls._identifier = 0
def __init__(self, model, proc_info):
Process.__init__(self, name=proc_info.name, sim=model)
self._model = model
self._internal_id = Processor._identifier
Processor._identifier += 1
self.identifier = proc_info.identifier
self._running = None
self.was_running = None
self._evts = deque([])
self.sched = model.scheduler
self.monitor = Monitor(name="Monitor" + proc_info.name, sim=model)
self._caches = []
self._penalty = proc_info.penalty
self._cs_overhead = proc_info.cs_overhead
self._cl_overhead = proc_info.cl_overhead
self._migration_overhead = proc_info.migration_overhead
self.set_caches(proc_info.caches)
self.timer_monitor = Monitor(name="Monitor Timer" + proc_info.name,
sim=model)
self._speed = proc_info.speed
def resched(self):
"""
Add a resched event to the list of events to handle.
"""
self._evts.append((RESCHED,))
def activate(self, job):
self._evts.append((ACTIVATE, job))
def terminate(self, job):
self._evts.append((TERMINATE, job))
self._running = None
def preempt(self, job=None):
self._evts = deque([e for e in self._evts if e[0] != PREEMPT])
self._evts.append((PREEMPT,))
self._running = job
def timer(self, timer):
self._evts.append((TIMER, timer))
def set_speed(self, speed):
assert speed >= 0, "Speed must be positive."
self._evts.append((SPEED, speed))
@property
def speed(self):
return self._speed
def is_running(self):
"""
Return True if a job is currently running on that processor.
"""
return self._running is not None
def set_caches(self, caches):
self._caches = caches
for cache in caches:
cache.shared_with.append(self)
def get_caches(self):
return self._caches
caches = property(get_caches, set_caches)
@property
def penalty_memaccess(self):
return self._penalty
@property
def cs_overhead(self):
return self._cs_overhead
@property
def cl_overhead(self):
return self._cl_overhead
@property
def internal_id(self):
"""A unique, internal, id."""
return self._internal_id
@property
def running(self):
"""
The job currently running on that processor. None if no job is
currently running on the processor.
"""
return self._running
def run(self):
while True:
if not self._evts:
job = self._running
if job:
yield waituntil, self, lambda: job.context_ok
self.monitor.observe(ProcCxtLoadEvent())
yield hold, self, self.cl_overhead # overhead load context
self.monitor.observe(ProcCxtLoadEvent(terminated=True))
job.interruptReset()
self.sim.reactivate(job)
self.monitor.observe(ProcRunEvent(job))
job.context_ok = False
else:
self.monitor.observe(ProcIdleEvent())
# Wait event.
yield waituntil, self, lambda: self._evts
if job:
self.interrupt(job)
self.monitor.observe(ProcCxtSaveEvent())
yield hold, self, self.cs_overhead # overhead save context
self.monitor.observe(ProcCxtSaveEvent(terminated=True))
job.context_ok = True
evt = self._evts.popleft()
if evt[0] == RESCHED:
if any(x[0] != RESCHED for x in self._evts):
self._evts.append(evt)
continue
if evt[0] == ACTIVATE:
self.sched.on_activate(evt[1])
self.monitor.observe(ProcOverheadEvent("JobActivation"))
self.sched.monitor_begin_activate(self)
yield hold, self, self.sched.overhead_activate
self.sched.monitor_end_activate(self)
elif evt[0] == TERMINATE:
self.sched.on_terminated(evt[1])
self.monitor.observe(ProcOverheadEvent("JobTermination"))
self.sched.monitor_begin_terminate(self)
yield hold, self, self.sched.overhead_terminate
self.sched.monitor_end_terminate(self)
elif evt[0] == TIMER:
self.timer_monitor.observe(None)
if evt[1].overhead > 0:
print(self.sim.now(), "hold", evt[1].overhead)
yield hold, self, evt[1].overhead
evt[1].call_handler()
elif evt[0] == SPEED:
self._speed = evt[1]
elif evt[0] == RESCHED:
self.monitor.observe(ProcOverheadEvent("Scheduling"))
self.sched.monitor_begin_schedule(self)
yield waituntil, self, self.sched.get_lock
decisions = self.sched.schedule(self)
yield hold, self, self.sched.overhead # overhead scheduling
if type(decisions) is not list:
decisions = [decisions]
decisions = [d for d in decisions if d is not None]
for job, cpu in decisions:
# If there is nothing to change, simply ignore:
if cpu.running == job:
continue
# If trying to execute a terminated job, warn and ignore:
if job is not None and not job.is_active():
print("Can't schedule a terminated job! ({})"
.format(job.name))
continue
# if the job was running somewhere else, stop it.
if job and job.cpu.running == job:
job.cpu.preempt()
# Send that job to processor cpu.
cpu.preempt(job)
if job:
job.task.cpu = cpu
# Forbid to run a job simultaneously on 2 or more processors.
running_tasks = [
cpu.running.name
for cpu in self._model.processors if cpu.running]
assert len(set(running_tasks)) == len(running_tasks), \
"Try to run a job on 2 processors simultaneously!"
self.sched.release_lock()
self.sched.monitor_end_schedule(self)
class Processor(Process):
"""
A processor is responsible of deciding whether the simulated processor
should execute a job or execute the scheduler. There is one instance of
Processor per simulated processor. Those are responsible to call the
scheduler methods.
When a scheduler needs to take a scheduling decision, it must invoke the
:meth:`resched` method. This is typically done in the :meth:`on_activate
<simso.core.Scheduler.Scheduler.on_activate>`, :meth:`on_terminated
<simso.core.Scheduler.Scheduler.on_terminated>` or in a :class:`timer
<simso.core.Timer.Timer>` handler.
"""
_identifier = 0
@classmethod
def init(cls):
cls._identifier = 0
def __init__(self, model, proc_info, power):
Process.__init__(self, name=proc_info.name, sim=model)
self._model = model
self._internal_id = Processor._identifier
Processor._identifier += 1
self.identifier = proc_info.identifier
self._running = None
self.was_running = None
self._evts = deque([])
self.sched = model.scheduler
self.monitor = Monitor(name="Monitor" + proc_info.name, sim=model)
self._caches = []
self._penalty = proc_info.penalty
self._cs_overhead = proc_info.cs_overhead
self._cl_overhead = proc_info.cl_overhead
self._migration_overhead = proc_info.migration_overhead
self.set_caches(proc_info.caches)
self.timer_monitor = Monitor(name="Monitor Timer" + proc_info.name,
sim=model)
self._speed = proc_info.speed
self._power = power
self.idle_time = None
def resched(self):
"""
Add a resched event to the list of events to handle.
"""
self._evts.append((RESCHED, ))
def activate(self, job):
self._evts.append((ACTIVATE, job))
def terminate(self, job):
self._evts.append((TERMINATE, job))
self._running = None
def preempt(self, job=None):
self._evts = deque([e for e in self._evts if e[0] != PREEMPT])
self._evts.append((PREEMPT, ))
self._running = job
def timer(self, timer):
self._evts.append((TIMER, timer))
def set_speed(self, speed):
assert speed >= 0, "Speed must be positive."
self._evts.append((SPEED, speed))
def set_idle(self, period):
self._power.count_energy(self, float(period))
def set_dummy(self, x):
if self.idle_time == None:
self.idle_time = self.sim.now()
self._power.energyMode(self.sim.now(), self, x)
def stop_dummy(self):
if self.idle_time != None:
self.idle_time = None
self._power.stop_idle(self, self.sim.now())
def set_busy(self):
if self.idle_time != None:
period = self.sim.now() - self.idle_time
self._power.record_idle_time(self, period)
self.idle_time = None
def set_idle_extend(self, time):
if self.idle_time == None:
self.idle_time = self.sim.now()
self._power.set_state(time)
def stop_idle_extend(self):
if self.idle_time != None:
time = self.sim.now() - self.idle_time
self.idle_time = None
self._power.stop_state(self, time)
@property
def speed(self):
return self._speed
def is_running(self):
"""
Return True if a job is currently running on that processor.
"""
return self._running is not None
def set_caches(self, caches):
self._caches = caches
for cache in caches:
cache.shared_with.append(self)
def get_caches(self):
return self._caches
caches = property(get_caches, set_caches)
@property
def penalty_memaccess(self):
return self._penalty
@property
def cs_overhead(self):
return self._cs_overhead
@property
def cl_overhead(self):
return self._cl_overhead
@property
def internal_id(self):
"""A unique, internal, id."""
return self._internal_id
@property
def running(self):
"""
The job currently running on that processor. None if no job is
currently running on the processor.
"""
return self._running
@property
def less_effic_BET(self):
bet = 10000
for s, BET, Pen, Co in self._power.states:
if BET < bet:
bet = BET
return bet
# Update the energy consumption at the end of simulation
def update(self):
total = 0
duration = self._model.duration / self._model.cycles_per_ms
duration_t = duration * len(self._model.processors)
utilization = (self._model.utilization) / len(self._model.processors)
exec_time = (duration_t * utilization)
ideal = 0
for cpu in self._model.processors:
period = 0
if cpu.idle_time != None:
period = float(self._model.duration -
cpu.idle_time) / self._model.cycles_per_ms
total += cpu._power.total()
idle_time = duration_t - exec_time
consumo_min = cpu._power.consumption(idle_time) + exec_time
final = (total / consumo_min) - 1
max_c = ((duration * len(self._model.processors)) / consumo_min) - 1
self._model.logger.log(
"Energy consumption with idle = {}. {} of {} max = {}".format(
final, total, consumo_min, max_c))
def run(self):
while True:
if not self._evts:
job = self._running
if job:
yield waituntil, self, lambda: job.context_ok
self.monitor.observe(ProcCxtLoadEvent())
yield hold, self, self.cl_overhead # overhead load context
self.monitor.observe(ProcCxtLoadEvent(terminated=True))
job.interruptReset()
self.sim.reactivate(job)
self.monitor.observe(ProcRunEvent(job))
job.context_ok = False
else:
self.monitor.observe(ProcIdleEvent())
# Wait event.
yield waituntil, self, lambda: self._evts
if job:
self.interrupt(job)
self.monitor.observe(ProcCxtSaveEvent())
yield hold, self, self.cs_overhead # overhead save context
self.monitor.observe(ProcCxtSaveEvent(terminated=True))
job.context_ok = True
evt = self._evts.popleft()
if evt[0] == RESCHED:
if any(x[0] != RESCHED for x in self._evts):
self._evts.append(evt)
continue
if evt[0] == ACTIVATE:
self.sched.on_activate(evt[1])
self.monitor.observe(ProcOverheadEvent("JobActivation"))
self.sched.monitor_begin_activate(self)
yield hold, self, self.sched.overhead_activate
self.sched.monitor_end_activate(self)
elif evt[0] == TERMINATE:
self.sched.on_terminated(evt[1])
self.monitor.observe(ProcOverheadEvent("JobTermination"))
self.sched.monitor_begin_terminate(self)
yield hold, self, self.sched.overhead_terminate
self.sched.monitor_end_terminate(self)
elif evt[0] == TIMER:
self.timer_monitor.observe(None)
if evt[1].overhead > 0:
print(self.sim.now(), "hold", evt[1].overhead)
yield hold, self, evt[1].overhead
evt[1].call_handler()
elif evt[0] == SPEED:
self._speed = evt[1]
elif evt[0] == RESCHED:
self.monitor.observe(ProcOverheadEvent("Scheduling"))
self.sched.monitor_begin_schedule(self)
yield waituntil, self, self.sched.get_lock
decisions = self.sched.schedule(self)
yield hold, self, self.sched.overhead # overhead scheduling
if type(decisions) is not list:
decisions = [decisions]
decisions = [d for d in decisions if d is not None]
for job, cpu in decisions:
# If there is nothing to change, simply ignore:
if cpu.running == job:
continue
# If trying to execute a terminated job, warn and ignore:
if job is not None and not job.is_active():
print("Can't schedule a terminated job! ({})".format(
job.name))
continue
# if the job was running somewhere else, stop it.
if job and job.cpu.running == job: # and job.cpu.running != cpu:
job.cpu.preempt()
# Send that job to processor cpu.
cpu.preempt(job)
if job:
job.task.cpu = cpu
# Forbid to run a job simultaneously on 2 or more processors.
running_tasks = [
cpu.running.name for cpu in self._model.processors
if cpu.running
]
assert len(set(running_tasks)) == len(running_tasks), \
"Try to run a job on 2 processors simultaneously!"
self.sched.release_lock()
self.sched.monitor_end_schedule(self)
class Processor(Process):
"""
A processor is responsible of deciding whether the simulated processor
should execute a job or execute the scheduler. There is one instance of
Processor per simulated processor. Those are responsible to call the
scheduler methods.
When a scheduler needs to take a scheduling decision, it must invoke the
:meth:`resched` method. This is typically done in the :meth:`on_activate
<simso.core.Scheduler.Scheduler.on_activate>`, :meth:`on_terminated
<simso.core.Scheduler.Scheduler.on_terminated>` or in a :class:`timer
<simso.core.Timer.Timer>` handler.
"""
_identifier = 0
@classmethod
def init(cls):
cls._identifier = 0
def __init__(self, model, proc_info):
Process.__init__(self, name=proc_info.name, sim=model)
self._model = model
self._internal_id = Processor._identifier
Processor._identifier += 1
self.identifier = proc_info.identifier
self._running = None
self.was_running = None
self._evts = deque([])
self.sched = model.scheduler
self.monitor = Monitor(name="Monitor" + proc_info.name, sim=model)
self._caches = []
self._penalty = proc_info.penalty
self._cs_overhead = proc_info.cs_overhead
self._cl_overhead = proc_info.cl_overhead
self._migration_overhead = proc_info.migration_overhead
self.set_caches(proc_info.caches)
self.timer_monitor = Monitor(name="Monitor Timer" + proc_info.name,
sim=model)
self._speed = proc_info.speed
def resched(self):
"""
Add a resched event to the list of events to handle.
"""
print(self._model.now(), "resched")
self._evts.append((RESCHED,))
def activate(self, job):
print(self._model.now(), "activate")
self._evts.append((ACTIVATE, job))
def terminate(self, job):
self._evts.append((TERMINATE, job))
self._running = None
def preempt(self, job=None):
print(self._model.now(), "preempt")
self._evts = deque([e for e in self._evts if e[0] != PREEMPT])
self._evts.append((PREEMPT,))
self._running = job
def timer(self, timer):
self._evts.append((TIMER, timer))
def set_speed(self, speed):
assert speed >= 0, "Speed must be positive."
self._evts.append((SPEED, speed))
@property
def speed(self):
return self._speed
def is_running(self):
"""
Return True if a job is currently running on that processor.
"""
return self._running is not None
def set_caches(self, caches):
self._caches = caches
for cache in caches:
cache.shared_with.append(self)
def get_caches(self):
return self._caches
caches = property(get_caches, set_caches)
@property
def penalty_memaccess(self):
return self._penalty
@property
def cs_overhead(self):
return self._cs_overhead
@property
def cl_overhead(self):
return self._cl_overhead
@property
def internal_id(self):
"""A unique, internal, id."""
return self._internal_id
@property
def running(self):
"""
The job currently running on that processor. None if no job is
currently running on the processor.
"""
return self._running
def run(self):
while True:
if not self._evts:
job = self._running
if job:
yield waituntil, self, lambda: job.context_ok
self.monitor.observe(ProcCxtLoadEvent())
yield hold, self, self.cl_overhead # overhead load context
self.monitor.observe(ProcCxtLoadEvent(terminated=True))
job.interruptReset()
self.sim.reactivate(job)
self.monitor.observe(ProcRunEvent(job))
job.context_ok = False
else:
self.monitor.observe(ProcIdleEvent())
# Wait event.
yield waituntil, self, lambda: self._evts
if job:
self.interrupt(job)
self.monitor.observe(ProcCxtSaveEvent())
yield hold, self, self.cs_overhead # overhead save context
self.monitor.observe(ProcCxtSaveEvent(terminated=True))
job.context_ok = True
evt = self._evts.popleft()
print(self._model.now(), "run", evt[0])
if evt[0] == RESCHED:
if any(x[0] != RESCHED for x in self._evts):
self._evts.append(evt)
continue
if evt[0] == ACTIVATE:
self.sched.on_activate(evt[1])
self.monitor.observe(ProcOverheadEvent("JobActivation"))
self.sched.monitor_begin_activate(self)
yield hold, self, self.sched.overhead_activate
self.sched.monitor_end_activate(self)
elif evt[0] == TERMINATE:
self.sched.on_terminated(evt[1])
self.monitor.observe(ProcOverheadEvent("JobTermination"))
self.sched.monitor_begin_terminate(self)
yield hold, self, self.sched.overhead_terminate
self.sched.monitor_end_terminate(self)
elif evt[0] == TIMER:
self.timer_monitor.observe(None)
if evt[1].overhead > 0:
print(self.sim.now(), "hold", evt[1].overhead)
yield hold, self, evt[1].overhead
evt[1].call_handler()
elif evt[0] == SPEED:
self._speed = evt[1]
elif evt[0] == RESCHED:
self.monitor.observe(ProcOverheadEvent("Scheduling"))
self.sched.monitor_begin_schedule(self)
yield waituntil, self, self.sched.get_lock
decisions = self.sched.schedule(self)
yield hold, self, self.sched.overhead # overhead scheduling
if type(decisions) is not list:
decisions = [decisions]
decisions = [d for d in decisions if d is not None]
for job, cpu in decisions:
if cpu.running is not None:
print(self.sim.now(), "run", job.task.name, cpu.running.task.name)
else:
print(self.sim.now(), "run", job.task.name, cpu.running)
# If there is nothing to change, simply ignore:
if cpu.running == job:
print(self.sim.now(), "no changes")
continue
# If trying to execute a terminated job, warn and ignore:
if job is not None and not job.is_active():
print("Can't schedule a terminated job! ({})"
.format(job.name))
continue
# if the job was running somewhere else, stop it.
if job and job.cpu.running == job:
job.cpu.preempt()
# Send that job to processor cpu.
cpu.preempt(job)
if job:
job.task.cpu = cpu
# Forbid to run a job simultaneously on 2 or more processors.
running_tasks = [
cpu.running.name
for cpu in self._model.processors if cpu.running]
assert len(set(running_tasks)) == len(running_tasks), \
"Try to run a job on 2 processors simultaneously!"
self.sched.release_lock()
self.sched.monitor_end_schedule(self)
class Scheduler(object):
"""
The implementation of a scheduler is done by subclassing this abstract
class.
The scheduling events are modeled by method calls which take as arguments
the :class:`jobs <simso.core.Job.Job>` and the :class:`processors
<simso.core.Processor.Processor>`.
The following methods should be redefined in order to interact with the
simulation:
- :meth:`init` Called when the simulation is ready. The scheduler \
logic should be initialized here.
- :meth:`on_activate` Called upon a job activation.
- :meth:`on_terminated` Called when a job is terminated.
- :meth:`schedule` Take the scheduling decision. This method should \
not be called directly. A call to the :meth:`resched \
<simso.core.Processor.Processor.resched>` method is required.
By default, the scheduler can only run on a single processor at the same
simulation time. It is also possible to override this behavior by
overriding the :meth:`get_lock` and :meth:`release_lock` methods.
"""
def __init__(self, sim, scheduler_info, **kwargs):
"""
Args:
- `sim`: :class:`Model <simso.core.Model>` instance.
- `scheduler_info`: A :class:`SchedulerInfo` representing the \
scheduler.
Attributes:
- **sim**: :class:`Model <simso.core.Model.Model>` instance. \
Useful to get current time with ``sim.now_ms()`` (in ms) or \
``sim.now()`` (in cycles).
- **processors**: List of :class:`processors \
<simso.core.Processor.Processor>` handled by this scheduler.
- **task_list**: List of :class:`tasks <simso.core.Task.GenericTask>` \
handled by this scheduler.
Methods:
"""
self.sim = sim
self.processors = []
self.task_list = []
self._lock = False
self.overhead = scheduler_info.overhead
self.overhead_activate = scheduler_info.overhead_activate
self.overhead_terminate = scheduler_info.overhead_terminate
self.data = scheduler_info.data
self.monitor = Monitor(name="MonitorScheduler", sim=sim)
def init(self):
"""
This method is called when the system is ready to run. This method
should be used in lieu of the __init__ method. This method is
guaranteed to be called when the simulation starts, after the tasks
are instantiated
"""
pass
def on_activate(self, job):
"""
This method is called upon a job activation.
Args:
- `job`: The activated :class:`job <simso.core.Job.Job>`.
"""
pass
def on_terminated(self, job):
"""
This method is called when a job finish (termination or abortion).
Args:
- `job`: The :class:`job <simso.core.Job.Job>` that terminates .
"""
pass
def schedule(self, cpu):
"""
The schedule method must be redefined by the simulated scheduler.
It takes as argument the cpu on which the scheduler runs.
Args:
- `cpu`: The :class:`processor <simso.core.Processor.Processor>` \
on which the scheduler runs.
Returns a decision or a list of decisions. A decision is a couple
(job, cpu).
"""
raise NotImplementedError("Function schedule to override!")
def add_task(self, task):
"""
Add a task to the list of tasks handled by this scheduler.
Args:
- `task`: The :class:`task <simso.core.Task.GenericTask>` to add.
"""
self.task_list.append(task)
def add_processor(self, cpu):
"""
Add a processor to the list of processors handled by this scheduler.
Args:
- `processor`: The :class:`processor \
<simso.core.Processor.Processor>` to add.
"""
self.processors.append(cpu)
def get_lock(self):
"""
Implement a lock mechanism. Override it to remove the lock or change
its behavior.
"""
if not self._lock:
self._lock = True
else:
return False
return True
def release_lock(self):
"""
Release the lock. Goes in pair with :meth:`get_lock`.
"""
self._lock = False
def monitor_begin_schedule(self, cpu):
self.monitor.observe(SchedulerBeginScheduleEvent(cpu))
def monitor_end_schedule(self, cpu):
self.monitor.observe(SchedulerEndScheduleEvent(cpu))
def monitor_begin_activate(self, cpu):
self.monitor.observe(SchedulerBeginActivateEvent(cpu))
def monitor_end_activate(self, cpu):
self.monitor.observe(SchedulerEndActivateEvent(cpu))
def monitor_begin_terminate(self, cpu):
self.monitor.observe(SchedulerBeginTerminateEvent(cpu))
def monitor_end_terminate(self, cpu):
self.monitor.observe(SchedulerEndTerminateEvent(cpu))
class Processor(Process):
"""
A processor is responsible of deciding whether the simulated processor
should execute a job or execute the scheduler. There is one instance of
Processor per simulated processor. Those are responsible to call the
scheduler methods.
When a scheduler needs to take a scheduling decision, it must invoke the
:meth:`resched` method. This is typically done in the :meth:`on_activate
<simso.core.Scheduler.Scheduler.on_activate>`, :meth:`on_terminated
<simso.core.Scheduler.Scheduler.on_terminated>` or in a :class:`timer
<simso.core.Timer.Timer>` handler.
"""
_identifier = 0
@classmethod
def init(cls):
cls._identifier = 0
def __init__(self, model, proc_info):
Process.__init__(self, name=proc_info.name, sim=model)
self._model = model
self._internal_id = Processor._identifier
Processor._identifier += 1
self.identifier = proc_info.identifier
# EDIT currently running time partition
self._time_part = False
self._running_inst = None
self._evts_inst = deque([])
self._sched_part = None
self._running = None
self.was_running = None
self._evts = deque([])
self.sched = model.scheduler
self.monitor = Monitor(name="Monitor" + proc_info.name, sim=model)
self._caches = []
self._penalty = proc_info.penalty
self._cs_overhead = proc_info.cs_overhead
self._cl_overhead = proc_info.cl_overhead
self._migration_overhead = proc_info.migration_overhead
self.set_caches(proc_info.caches)
self.timer_monitor = Monitor(name="Monitor Timer" + proc_info.name,
sim=model)
self._speed = proc_info.speed
def activate_time_partitioning(self, part_scheduler):
# Enable time partitioning on this CPU and reset structures
self._time_part = True
self._running_inst = None
self.sched = None
self._running = None
self._evts = deque([])
self._sched_part = part_scheduler
def resched(self, sched=None):
"""
Add a resched event to the list of events to handle.
"""
if(self._time_part and sched != None):
sched._part._task_evts[self].append((RESCHED,))
else:
self._evts.append((RESCHED,))
def activate(self, job):
debug("---> ACTIVATE " + job.name + " on " + self.name + " at " + str(self._model.now()))
if(self._time_part):
job._task._part._task_evts[self].append((ACTIVATE, job,))
else:
self._evts.append((ACTIVATE, job))
def terminate(self, job):
debug("---> TERMINATE " + job.name + " on " + self.name + " at " + str(self._model.now()))
if(self._time_part):
job._task._part._task_evts[self].append((TERMINATE, job,))
else:
self._evts.append((TERMINATE, job))
def preempt(self, job=None):
to_remove = []
for e in self._evts:
if e[0] != PREEMPT:
to_remove.append(e)
for e in to_remove:
self._evts.remove(e)
#self._evts = deque([e for e in self._evts if e[0] != PREEMPT])
self._evts.append((PREEMPT,))
self._running = job
def timer(self, timer):
# No easy way to derive current partition from a timer
# instance. But args[1] in a timer should be a Task instance
# or a scheduler
if(self._time_part):
timer.args[0]._part._task_evts[self].append((TIMER, timer))
else:
self._evts.append((TIMER, timer))
def set_speed(self, speed):
assert speed >= 0, "Speed must be positive."
self._evts.append((SPEED, speed))
# EDIT added actions on time partitions
def activate_inst(self, inst):
self._evts_inst.append((ACTIVATE_TPART, inst))
def terminate_inst(self, inst):
self._evts_inst.append((TERMINATE_TPART, inst))
def preempt_inst(self, inst=None):
self._evts_inst.append((PREEMPT_TPART,))
# First stop the job in the old partition
if(inst != self._running_inst and self._running):
#self.interrupt(self._running)
self._running_inst.part.running_jobs[self] = self._running
self._running_inst = inst
self._running = None
self.sched = None
# Resume suspended jobs
if(inst):
self._running = inst.part.running_jobs[self]
inst.part.running_jobs[self] = None
self._evts = inst.part.task_evts[self]
self.sched = inst.part.scheduler
self._evts.append((RESCHED,))
# if(self._running):
# self._running.interruptReset()
# self.sim.reactivate(self._running)
else:
self._evts = deque([])
if(inst):
debug("Switched to part " + inst.name)
else:
debug("Switched to NONE")
def resched_inst(self, sched=None):
"""
Add a resched event to the list of events to handle for time
partitions.
"""
self._evts_inst.append((RESCHED_TPART,))
@property
def speed(self):
return self._speed
def is_running(self):
"""
Return True if a job is currently running on that processor.
"""
return self._running is not None
def is_time_partitioned(self):
return self._time_part
def set_caches(self, caches):
self._caches = caches
for cache in caches:
cache.shared_with.append(self)
def get_caches(self):
return self._caches
caches = property(get_caches, set_caches)
@property
def penalty_memaccess(self):
return self._penalty
@property
def cs_overhead(self):
return self._cs_overhead
@property
def cl_overhead(self):
return self._cl_overhead
@property
def internal_id(self):
"""A unique, internal, id."""
return self._internal_id
@property
def running(self):
"""
The job currently running on that processor. None if no job is
currently running on the processor.
"""
return self._running
@property
def running_inst(self):
"""
The time partition currently running on that processor. None if no
time partition is currently running on the processor.
"""
return self._running_inst
@property
def sched_part(self):
"""A unique, internal, id."""
return self._sched_part
def act_to_name(self, act):
if(act == 1):
return "RESCHED"
elif(act == 2):
return "ACTIVATE"
elif(act == 3):
return "TERMINATE"
elif(act == 4):
return "TIMER"
elif(act == 5):
return "PREEMPT"
elif(act == 6):
return "SPEED"
elif(act == 7):
return "ACTIVATE_TPART"
elif(act == 8):
return "TERMINATE_TPART"
elif(act == 9):
return "RESCHED_TPART"
elif(act == 10):
return "PREEMPT_TPART"
# EDIT added procedures to run function to handle time partitioned
# case
def run(self):
while True:
debug("--- LOOP ---")
if not self._evts and not self._evts_inst:
job = self._running
if job:
yield waituntil, self, lambda: job.context_ok
self.monitor.observe(ProcCxtLoadEvent())
yield hold, self, self.cl_overhead # overhead load context
self.monitor.observe(ProcCxtLoadEvent(terminated=True))
job.interruptReset()
self.sim.reactivate(job)
self.monitor.observe(ProcRunEvent(job))
job.context_ok = False
if (self._time_part):
self._running_inst.notify_job_execution(self, job)
debug(self.name + " RUNNING " + job.name + " at " + str(self._model.now()))
else:
debug(self.name + " IDLE AT " + str(self._model.now()))
self.monitor.observe(ProcIdleEvent())
inst = self._running_inst
if inst:
inst.interruptReset()
self.sim.reactivate(inst)
self.monitor.observe(ProcStartPart(inst))
else:
self.monitor.observe(ProcNoPart(inst))
# Wait for a job or a time partition event.
yield waituntil, self, lambda: self._evts or self._evts_inst
if job:
self.interrupt(job)
self.monitor.observe(ProcCxtSaveEvent())
yield hold, self, self.cs_overhead # overhead save context
self.monitor.observe(ProcCxtSaveEvent(terminated=True))
job.context_ok = True
if inst and self._evts_inst:
self.interrupt(inst)
if self._evts:
evt = self._evts.popleft()
# If there is a job event being processed, we must be
# executing one of the partitions (or no time partition
# system is active on this CPU)
#assert self.sched != None or evt[0]==ACTIVATE, "Job event processed outside time partition."
debug("TASK: " + self.act_to_name(evt[0]) + " at " + str(self._model.now()) + " on " + self.name)
if evt[0] == RESCHED:
if any(x[0] != RESCHED for x in self._evts):
self._evts.append(evt)
continue
if evt[0] == ACTIVATE:
if self._time_part:
sched = evt[1].task.part.scheduler
sched.on_activate(evt[1])
else:
sched = self.sched
sched.on_activate(evt[1])
self.monitor.observe(ProcOverheadEvent("JobActivation"))
sched.monitor_begin_activate(self)
yield hold, self, sched.overhead_activate
sched.monitor_end_activate(self)
elif evt[0] == TERMINATE:
if self._time_part:
sched = evt[1].task.part.scheduler
sched.on_terminated(evt[1])
debug("NOTIF...")
self._running = None
self._running_inst.notify_job_termination(self, evt[1])
else:
self.sched.on_terminated(evt[1])
self._running = None
self.monitor.observe(ProcOverheadEvent("JobTermination"))
self.sched.monitor_begin_terminate(self)
yield hold, self, self.sched.overhead_terminate
self.sched.monitor_end_terminate(self)
elif evt[0] == TIMER:
self.timer_monitor.observe(None)
if evt[1].overhead > 0:
debug(self.sim.now(), "hold", evt[1].overhead)
yield hold, self, evt[1].overhead
evt[1].call_handler()
elif evt[0] == SPEED:
self._speed = evt[1]
elif evt[0] == RESCHED:
self.monitor.observe(ProcOverheadEvent("Scheduling"))
self.sched.monitor_begin_schedule(self)
yield waituntil, self, self.sched.get_lock
decisions = self.sched.schedule(self)
yield hold, self, self.sched.overhead # overhead scheduling
if type(decisions) is not list:
decisions = [decisions]
decisions = [d for d in decisions if d is not None]
# if(decisions):
# debug "TASK RESCED at " + str(self._model.now()) + " - " + str(decisions) + " on " + self.name
for job, cpu in decisions:
# If there is nothing to change, simply ignore:
if cpu.running == job:
continue
# If trying to execute a terminated job, warn and ignore:
if job is not None and not job.is_active():
debug("Can't schedule a terminated job! ({})"
.format(job.name))
continue
# if the job was running somewhere else, stop it.
if job and job.cpu.running == job:
job.cpu.preempt()
# Send that job to processor cpu.
cpu.preempt(job)
if job:
job.task.cpu = cpu
# Forbid to run a job simultaneously on 2 or more processors.
running_tasks = [
cpu.running.name
for cpu in self._model.processors if cpu.running]
assert len(set(running_tasks)) == len(running_tasks), \
"Try to run a job on 2 processors simultaneously!"
self.sched.release_lock()
self.sched.monitor_end_schedule(self)
# If there are more task-related events, skip to next loop
# to process all task events before partition events
if (self._time_part and self._evts):
continue
# LOGIC TO RUN PARTITIONS JUST LIKE JOBS
# In case time-partitioning is used, process also partition
# events
if (self._time_part and self._evts_inst):
evt = self._evts_inst.popleft()
debug("PART: " + self.act_to_name(evt[0]) + " at " + str(self._model.now()) + " on " + self.name)
# TODO EDIT HERE
if evt[0] == ACTIVATE_TPART:
self.sched_part.on_activate_inst(evt[1])
self.monitor.observe(ProcOverheadEvent("PartitionActivation"))
self.sched_part.monitor_begin_activate(self)
yield hold, self, 0 # TODO add overhead for partition activation
self.sched_part.monitor_end_activate(self)
elif evt[0] == TERMINATE_TPART:
self.sched_part.on_terminated_inst(evt[1])
self.preempt_inst(None)
self.monitor.observe(ProcOverheadEvent("PartitionTermination"))
self.sched_part.monitor_begin_terminate(self)
yield hold, self, 0 # TODO add overhead for partition termination
self.sched_part.monitor_end_terminate(self)
elif evt[0] == RESCHED_TPART:
self.monitor.observe(ProcOverheadEvent("PartitionScheduling"))
self.sched_part.monitor_begin_schedule(self)
decisions = self.sched_part.schedule(self)
yield hold, self, 0 # TODO add overhead for partition scheduling
if type(decisions) is not list:
decisions = [decisions]
decisions = [d for d in decisions if d is not None]
for inst, cpus in decisions:
for cpu in cpus:
# If we are already running the same partition, do nothing
if cpu._running_inst == inst:
continue
# If a partition was completed, raise a warning
if inst is not None and not inst.is_active():
debug("Can't schedule a terminated partition instance! ({}) at {} - {}"
.format(inst.name, self._model.now(), self.name))
continue
cpu.preempt_inst(inst)
self.sched_part.monitor_end_schedule(self)
class Epidemic:
"""A class for modelling and simulating epidemics."""
def __init__(self, epidemic_params):
"""The constructor of the class.
Full params' list:
- nr_individuals: number of individuals in the population
- initial_infects: number of infects at the start of the simulation
- initial_immunes: number of immunes at the start of the simulation
- infect_prob: probability of getting infected after a contact with an infect
- contact_rate: rate of the contact between individuals
- recover_rate: rate of recover from infection
- immune_after_recovery: if true, individuals becomes immunes after recovery
- immunization_vanish_rate: if not zero, immunization is temporary with given rate
- death_rate: rate of death caused by epidemic
- newborn_can_be_infect: if true, newborn can be infect
- newborn_can_be_immune: if true, newborn can be immune
- newborn_prob: probability that a new individual born after a contact
- natural_death_prob: probability of death not caused by epidemic
- run_time: time duration of the simulation
- debug: show more info about the running simulation
- process_debug: show more info about SimPy processes during the simulation
- progress: show a progress indicator during the simulation
- stats: show some stats at the end of the simulation
- plot: show a plot representing the evolution of the population at the end of the simulation
"""
# setting up the epidemic's parameters with metaprogramming
for param in epidemic_params:
self.__dict__[param] = epidemic_params.get(param)
# setting the uninitialized parameters to their default values
self.check_and_set_default_value(['initial_immunes', 'recover_rate', 'death_rate', 'immunization_vanish_rate', 'newborn_prob', 'natural_death_prob'], ['immune_after_recovery', 'newborn_can_be_immune', 'newborn_can_be_infect', 'debug', 'process_debug', 'progress', 'stats', 'plot'])
# setting the random number generator using the python standard one
self.rng = random.Random()
# checking some features of the model from parameters passed to the constructor
self.model_has_immunization = self.model_has_immunization()
self.model_immunization_is_permanent = self.model_immunization_is_permanent()
self.model_has_recovering = self.model_has_recovering()
self.model_has_death = self.model_has_death()
self.model_has_vital_dynamics = self.model_has_vital_dynamics()
self.model_newborns_always_susceptibles = self.model_newborns_always_susceptibles()
self.model_has_new_susceptibles = self.model_has_new_susceptibles()
self.model_has_new_infects = self.model_has_new_infects()
# initialize the population counters
self.total_infects = self.initial_infects
self.total_immunes = self.initial_immunes
self.total_susceptibles = self.nr_individuals - self.initial_infects - self.initial_immunes
self.total_newborns = 0
self.total_natural_deaths = 0
self.total_deaths = 0
# setting up the monitors for watching interesting variables
self.m_suscettibili = Monitor(name="Suscettibili", ylab="suscettibili")
self.m_suscettibili.append([0, self.total_susceptibles])
self.m_infetti = Monitor(name="Infetti", ylab='infetti')
self.m_infetti.append([0, self.initial_infects])
if self.model_has_immunization:
self.m_immuni = Monitor(name="Immuni", ylab='immuni')
self.m_immuni.append([0, self.initial_immunes])
# setting up the array of all the individuals partecipating to the simulation
self.all_individuals = []
# initialize the simulation environment (time, events, ...)
initialize()
for i in range(self.nr_individuals):
# add individuals to the simulation with the specified health_status
if i >= (self.nr_individuals - self.initial_infects):
ind = self.Individual(self, ind_id=i, health_status='infect')
elif i >= (self.nr_individuals - self.initial_infects -
self.initial_immunes):
ind = self.Individual(self, ind_id=i, health_status='immune')
else:
ind = self.Individual(self, ind_id=i)
# activate it with function live()
activate(ind, ind.live(), at=0.0)
self.start_time = time.time()
if self.process_debug:
self.show_processes_status()
# start the simulation
simulate(until=self.run_time)
self.stop_time = time.time()
if self.process_debug:
self.show_processes_status()
# show final stats if required by params
if self.stats:
self.show_stats()
# show plot if required by params
if self.plot:
self.show_plot()
def model_has_recovering(self):
"""Checks from parameters if the epidemiological model has recovering."""
if self.recover_rate:
return True
else:
return False
def model_has_immunization(self):
"""Checks from parameters if the epidemiological model has immunization."""
if (self.model_has_recovering and self.immune_after_recovery) or (self.newborn_prob and self.newborn_can_be_immune):
return True
else:
return False
def model_immunization_is_permanent(self):
"""Checks from parameters if the epidemiological model has permanent immunization."""
if self.model_has_immunization and self.immunization_vanish_rate == 0:
return True
else:
return False
def model_has_death(self):
"""Checks from parameters if the epidemiological model has death."""
if self.death_rate:
return True
else:
return False
def model_has_vital_dynamics(self):
"""Checks from parameters if the epidemiological model has vital dynamics (births and natural deaths)."""
if (self.newborn_prob or self.natural_death_prob):
return True
else:
return False
def model_has_new_susceptibles(self):
"""Checks if the number of the susceptibles can increase during the simulation."""
if self.model_has_recovering or \
(self.model_has_immunization and not self.model_immunization_is_permanent) or \
self.model_has_vital_dynamics:
return True
else:
return False
def model_has_new_infects(self):
"""Checks if the number of the infects can increase during the simulation, but not for susceptibles getting infected."""
if self.model_has_vital_dynamics and not self.model_newborns_always_susceptibles:
return True
else:
return False
def model_newborns_always_susceptibles(self):
"""Checks if newborns are always susceptibles in the epidemiological model."""
if self.model_has_vital_dynamics and not (self.newborn_can_be_immune and self.newborn_can_be_infect):
return True
else:
return False
def check_and_set_default_value(self, num_params, bool_params):
"""Checks if some optional parameters are set and, if not, set them to their default values.
The default values of the optional parameters are:
- 0 for every numerical parameters;
- True for parameters "progress", "plot", "stats"
- False for every other boolean parameters
Input: two dictionaries of optional parameters of the constructor of the class
Output: none (but the optional parameters are setted with their default values)
"""
for param in num_params:
if hasattr(self, param) == False:
self.__dict__[param] = 0
for param in bool_params:
if hasattr(self, param) == False:
if param in ['progress', 'plot', 'stats']:
self.__dict__[param] = True
else:
self.__dict__[param] = False
def show_processes_status(self):
"""Returns the current internal status of the simulation processes."""
active_counter = 0
passive_counter = 0
terminated_counter = 0
interrupted_counter = 0
for ind in self.all_individuals:
if ind.active():
active_counter += 1
if ind.passive():
passive_counter += 1
if ind.terminated():
terminated_counter += 1
if ind.interrupted():
interrupted_counter += 1
print "Processes' status: %3i active, %3i passive, %3i terminated, %3i interrupted" % (active_counter, passive_counter, terminated_counter, interrupted_counter)
def wait(self, rate):
'''Returns the time interval before the next event.'''
return self.rng.expovariate(rate)
def next_event(self, events_rates):
"""Returns the next event, choosen from the given ones, and the time interval before it.
Input: a dictionary of possible events and their respective rates
Output: one of the possible events passed as input, and the time interval before it.
"""
rnd = self.rng.random()
total_rates = 0
for event in events_rates:
total_rates += events_rates.get(event)
cumulated_rates = 0
for event in events_rates:
cumulated_rates += events_rates.get(event)
if rnd <= cumulated_rates/total_rates:
returned_event = event
break
returned_event_interval = self.wait(total_rates)
return returned_event, returned_event_interval
def observe_vars(self):
"""Watches and records the values of the monitored variables."""
self.m_infetti.observe(self.total_infects)
self.m_suscettibili.observe(self.total_susceptibles)
if self.model_has_immunization:
self.m_immuni.observe(self.total_immunes)
def check_termination_conds(self):
"""Checks particular situations in which the simulation can be stopped before the time runs out."""
if self.total_infects == 0:
if self.debug:
print "[%f] STOP: infection ended, no more infects!"% (now())
print "\nSimulation ended prematurely: infection ended, no more infects."
return True
if not self.model_has_new_susceptibles:
if self.total_susceptibles == 0 and self.total_immunes == 0:
if self.debug:
print "[%f] STOP: infection extended to the whole population!"% (now())
print "\nSimulation ended prematurely: infection extended to the whole population."
return True
if self.model_immunization_is_permanent and not self.model_has_vital_dynamics:
if self.total_susceptibles == 0 and self.total_immunes == 0:
if self.debug:
print "[%f] STOP: infection ended, permanent immunizzation extended to the whole population!"% (now())
print "\nSimulation ended prematurely: infection ended, permanent immunizzation extended to the whole population."
return True
return False
def check_current_nr_individuals(self):
"""Checks the correct number of individuals during the simulation."""
assert self.nr_individuals + self.total_newborns - self.total_natural_deaths - self.total_deaths == self.total_susceptibles + self.total_infects + self.total_immunes, "error: assert failed on the current number of individuals."
def stop_simulation(self):
"""Stops the simulation."""
stopSimulation()
def show_plot(self):
"""Plots the number of infected, susceptibles and, eventually, immunes against time using gnuplot-py."""
try:
import Gnuplot
except ImportError:
print "warning: the gnuplot-py module cannot be found. The simulation will run anyway, but you could not plot the graph."
pass
g = Gnuplot.Gnuplot()
if os.getenv('DISPLAY') == None:
g('set term png')
g('set output "test.png"')
else:
g('persist=1')
g.xlabel('t')
g.ylabel('number of individuals')
x_infetti = self.m_infetti.tseries()
y_infetti = self.m_infetti.yseries()
x_suscettibili = self.m_suscettibili.tseries()
y_suscettibili = self.m_suscettibili.yseries()
g_infetti = Gnuplot.Data(x_infetti, y_infetti, inline=True, title='Infects', with='steps 1')
def __init__(self, epidemic_params):
"""The constructor of the class.
Full params' list:
- nr_individuals: number of individuals in the population
- initial_infects: number of infects at the start of the simulation
- initial_immunes: number of immunes at the start of the simulation
- infect_prob: probability of getting infected after a contact with an infect
- contact_rate: rate of the contact between individuals
- recover_rate: rate of recover from infection
- immune_after_recovery: if true, individuals becomes immunes after recovery
- immunization_vanish_rate: if not zero, immunization is temporary with given rate
- death_rate: rate of death caused by epidemic
- newborn_can_be_infect: if true, newborn can be infect
- newborn_can_be_immune: if true, newborn can be immune
- newborn_prob: probability that a new individual born after a contact
- natural_death_prob: probability of death not caused by epidemic
- run_time: time duration of the simulation
- debug: show more info about the running simulation
- process_debug: show more info about SimPy processes during the simulation
- progress: show a progress indicator during the simulation
- stats: show some stats at the end of the simulation
- plot: show a plot representing the evolution of the population at the end of the simulation
"""
# setting up the epidemic's parameters with metaprogramming
for param in epidemic_params:
self.__dict__[param] = epidemic_params.get(param)
# setting the uninitialized parameters to their default values
self.check_and_set_default_value(['initial_immunes', 'recover_rate', 'death_rate', 'immunization_vanish_rate', 'newborn_prob', 'natural_death_prob'], ['immune_after_recovery', 'newborn_can_be_immune', 'newborn_can_be_infect', 'debug', 'process_debug', 'progress', 'stats', 'plot'])
# setting the random number generator using the python standard one
self.rng = random.Random()
# checking some features of the model from parameters passed to the constructor
self.model_has_immunization = self.model_has_immunization()
self.model_immunization_is_permanent = self.model_immunization_is_permanent()
self.model_has_recovering = self.model_has_recovering()
self.model_has_death = self.model_has_death()
self.model_has_vital_dynamics = self.model_has_vital_dynamics()
self.model_newborns_always_susceptibles = self.model_newborns_always_susceptibles()
self.model_has_new_susceptibles = self.model_has_new_susceptibles()
self.model_has_new_infects = self.model_has_new_infects()
# initialize the population counters
self.total_infects = self.initial_infects
self.total_immunes = self.initial_immunes
self.total_susceptibles = self.nr_individuals - self.initial_infects - self.initial_immunes
self.total_newborns = 0
self.total_natural_deaths = 0
self.total_deaths = 0
# setting up the monitors for watching interesting variables
self.m_suscettibili = Monitor(name="Suscettibili", ylab="suscettibili")
self.m_suscettibili.append([0, self.total_susceptibles])
self.m_infetti = Monitor(name="Infetti", ylab='infetti')
self.m_infetti.append([0, self.initial_infects])
if self.model_has_immunization:
self.m_immuni = Monitor(name="Immuni", ylab='immuni')
self.m_immuni.append([0, self.initial_immunes])
# setting up the array of all the individuals partecipating to the simulation
self.all_individuals = []
# initialize the simulation environment (time, events, ...)
initialize()
for i in range(self.nr_individuals):
# add individuals to the simulation with the specified health_status
if i >= (self.nr_individuals - self.initial_infects):
ind = self.Individual(self, ind_id=i, health_status='infect')
elif i >= (self.nr_individuals - self.initial_infects -
self.initial_immunes):
ind = self.Individual(self, ind_id=i, health_status='immune')
else:
ind = self.Individual(self, ind_id=i)
# activate it with function live()
activate(ind, ind.live(), at=0.0)
self.start_time = time.time()
if self.process_debug:
self.show_processes_status()
# start the simulation
simulate(until=self.run_time)
self.stop_time = time.time()
if self.process_debug:
self.show_processes_status()
# show final stats if required by params
if self.stats:
self.show_stats()
# show plot if required by params
if self.plot:
self.show_plot()
def __init__(self, node, capacity):
self.node = node
self.capacity = capacity
self.jobs = set()
self.util = Monitor("Resource %d utilisation" % node.id)
self.util.observe(0,0)
