def __init__(self):
NodeScheduler.__init__(self)
self.is_profiling = False
self.static_max_tasks_to_run = min(int(self.capacity['cores'] / config.SLOT_SIZE['cpu']), \
int(self.capacity['memory'] / config.SLOT_SIZE['memory']))
self.logger.info("Initializing thread pool with %s workers" % self.static_max_tasks_to_run)
self.logger.info("Scheduler policy is %s" % config.POLICY)
# we make a random hash for our queue
self.random_hash = hashlib.sha1(b'/tmp/Weasel/bin/local_resourcemanager').hexdigest()
def __init__(self):
NodeScheduler.__init__(self)
self.is_profiling = False
self.static_max_tasks_to_run = min(int(self.capacity['cores'] / config.SLOT_SIZE['cpu']), \
int(self.capacity['memory'] / config.SLOT_SIZE['memory']))
self.logger.info("Initializing thread pool with %s workers" %
self.static_max_tasks_to_run)
self.logger.info("Scheduler policy is %s" % config.POLICY)
# we make a random hash for our queue
self.random_hash = hashlib.sha1(
b'/tmp/Weasel/bin/local_resourcemanager').hexdigest()
def __init__(self):
NodeScheduler.__init__(self)
self.is_profiling = True
#self.tqueue.start()
self.last_action = 0
self.resource_delta_history = []
''' variables used by the improved policy '''
self.past_value_w = 0.3
self.past_history_max_len = 10
self.profiling = False
self.c = config.TASK_UTIL_RATIO
self.current_task = ""
self.restart = False
self.adapt_queues = []
self.adapt_queues_lock = threading.Lock()
self.state = ProfilingStates.state['running']
self.profiled_queues = []
self.pending_queues = []
def __init__(self):
NodeScheduler.__init__(self)
self.is_profiling = True
#self.tqueue.start()
self.last_action = 0
self.resource_delta_history = []
''' variables used by the improved policy '''
self.past_value_w = 0.3
self.past_history_max_len = 10
self.profiling = False
self.c = config.TASK_UTIL_RATIO
self.current_task = ""
self.restart = False
self.adapt_queues = []
self.adapt_queues_lock = threading.Lock()
self.state = ProfilingStates.state['running']
self.profiled_queues = []
self.pending_queues = []
