def get_rtapp_profile(cls, plat_info):
profile = {}
cpus = cls.get_migration_cpus(plat_info)
for task in ["migr", "static0", "static1"]:
# An empty RTATask just to sum phases up
profile[task] = RTATask()
common_phase_settings = dict(
duration_s=cls.PHASE_DURATION_S,
period_ms=cls.TASK_PERIOD_MS,
)
for cpu in cpus:
# A task that will migrate to another CPU
profile["migr"] += Periodic(
duty_cycle_pct=cls.unscaled_utilization(plat_info, cpu, 20),
cpus=[cpu],
**common_phase_settings)
# Just some tasks that won't move to get some background utilization
profile["static0"] += Periodic(
duty_cycle_pct=cls.unscaled_utilization(
plat_info, cpus[0], 30),
cpus=[cpus[0]],
**common_phase_settings)
profile["static1"] += Periodic(
duty_cycle_pct=cls.unscaled_utilization(
plat_info, cpus[1], 20),
cpus=[cpus[1]],
**common_phase_settings)
return profile
def get_rtapp_profile(cls, plat_info):
cpus = cls.get_migration_cpus(plat_info)
make_name = lambda i: 'migrating{}'.format(i)
nr_tasks = len(cpus)
profile = {make_name(i): RTATask() for i in range(nr_tasks)}
# Define one task per CPU, and create all the possible migrations by
# shuffling around these tasks
for cpus_combi in itertools.permutations(cpus, r=nr_tasks):
for i, cpu in enumerate(cpus_combi):
profile[make_name(i)] += Periodic(
duty_cycle_pct=cls.unscaled_utilization(
plat_info, cpu, 50),
duration_s=cls.PHASE_DURATION_S,
period_ms=cls.TASK_PERIOD_MS,
cpus=[cpu],
)
return profile
def get_rtapp_profile(cls, plat_info):
profile = {}
cpus = cls.get_migration_cpus(plat_info)
for task in ["migrating0", "migrating1"]:
# An empty RTATask just to sum phases up
profile[task] = RTATask()
for i in range(2):
# A task that will migrate from CPU A to CPU B
profile["migrating0"] += Periodic(duty_cycle_pct=20,
duration_s=cls.PHASE_DURATION_S,
period_ms=cls.TASK_PERIOD_MS,
cpus=[cpus[i]])
# A task that will migrate from CPU B to CPU A
profile["migrating1"] += Periodic(duty_cycle_pct=20,
duration_s=cls.PHASE_DURATION_S,
period_ms=cls.TASK_PERIOD_MS,
cpus=[cpus[1 - i]])
return profile
