def __init__(self):
# Call init method from LBController
super(TEControllerLab1, self).__init__()
# Instantiate probability calculator object
self.pc = ProbabiliyCalculator()
# Create lock for synchronization on accessing self.cg
self.capacityGraphLock = threading.Lock()
# Set the congestion threshold
self.congestionThreshold = congestionThreshold
t = time.strftime("%H:%M:%S", time.gmtime())
log.info("%s - Congestion Threshold is set to %.2f%% of the link\n"%(t, (self.congestionThreshold)*100.0))
# Graph that will hold the link available capacities
with self.capacityGraphLock:
self.cg = self._createCapacitiesGraph()
# Variable where we save the last "read-out" copy of the
# capacity graph
self.cgc = self.cg.copy()
# Start the links monitorer thread linked to the event queue
lmt = LinksMonitorThread(capacity_graph = self.cg,
lock = self.capacityGraphLock,
logfile = dconf.LinksMonitor_LogFile,
median_filter=False)
lmt.start()
def __init__(self, congestionThreshold = 0.8, probabilityAlgorithm='exact'):
# Call init method from LBController
super(TEControllerLab2, self).__init__(congestionThreshold)
# Instantiate probability calculator object
self.pc = ProbabiliyCalculator()
# Create lock for synchronization on accessing self.cg
self.capacityGraphLock = threading.Lock()
# Graph that will hold the link available capacities
with self.capacityGraphLock:
self.cg = self._createCapacitiesGraph()
# Variable where we save the last "read-out" copy of the
# capacity graph
self.cgc = self.cg.copy()
# Type of algorithm used to calculate congestion probability
# in the ECMP part. It can be: simplified, exact or sampled
self.probabilityAlgorithm = probabilityAlgorithm
t = time.strftime("%H:%M:%S", time.gmtime())
log.info("%s - ECMP Congestion Probability Calculation function used: %s\n"%(t, self.probabilityAlgorithm))
# Start the links monitorer thread linked to the event queue
lmt = LinksMonitorThread(capacity_graph = self.cg,
lock = self.capacityGraphLock,
logfile = dconf.LinksMonitor_LogFile,
median_filter=False)
lmt.start()
