uw_cpus.append(Uw_cpu)
Xw = getMetrics.calculate_data_incoming_rate(
nodes, services["web-worker"])
#print("average data arrival rate: %f Kb/s" % (Xw))
f.write(str(Xw) + ",")
xws.append(Xw)
Res = getMetrics.calculate_requests_responseTime_pi()
#print("response time of /dataop/pi is: %f\n" % (Res))
f.write(str(Res) + "\n")
res.append(Res)
print("%f,%f,%f,%f" % (CtnNum, Uw_cpu, Xw, Res))
#-----------------------------------------------
ActNewCtnNum = random.randint(1, 10)
settings.scale(services["web-worker"], ActNewCtnNum, 1)
#-----------------------------------------------------------------------------------
fig, ax1 = plt.subplots()
t = range(len(ctnnums))
ax1.set_xlabel('#sample (s)')
###
ax1.plot(t, ctnnums, 'b-')
ax1.set_ylabel('#ctn', color='b')
ax1.tick_params('y', colors='b')
###
ax2 = ax1.twinx()
ax2.plot(t, uw_cpus, 'r-')
ax2.set_ylabel('Uw_cpu', color='r')
ax2.tick_params('y', colors='r')
###
ax3 = ax1.twinx()
else:
mtp = abs(Xw * R_ - Uw_cpu) / (Xw * R_ * Uw_cpu)
print("new number of containers should be %f x" % (mtp))
f.write("new number of containers should be %f x" % (mtp) + "\n")
NewCtnNum = round(CtnNum / math.sqrt(mtp))
print(
"--> Given the utilization here, we want new number of containers in this tier to be (U/(1-U)/R_): ",
NewCtnNum)
f.write(
"--> Given the utilization here, we want new number of containers in this tier to be (U/(1-U)/R_): %d"
% (NewCtnNum) + "\n")
NewCtnNum = min(NewCtnNum, 15)
if Uw_cpu > 0.6 and NewCtnNum > CtnNum:
settings.scale(services["web-worker"], NewCtnNum, 1)
elif Uw_cpu < 0.3 and NewCtnNum < CtnNum:
if NewCtnNum > 0:
settings.scale(services["web-worker"], NewCtnNum, -1)
else:
settings.scale(services["web-worker"], 1, -1)
'''print("database: ")
print("CPU Usage (avg): {0:.2f}%".format(
getMetrics.calculate_cpu_utilization(nodes, services["mysql"]) * 100))
print("average data arrival rate: %f Kb/s\n" % (
getMetrics.calculate_data_incoming_rate(nodes, services["mysql"])))'''
print("================================================")
f.write("================================================" + "\n")
time.sleep(50)
print("average data arrival rate: %f Kb/s\n" % (Xw))
#-----------------------------------------------
if Xw == float(0):
mtp = 1
else:
mtp = (Xw * R_ - Uw_cpu) / (Xw * R_ * Uw_cpu)
print(R_)
print("new number of containers should be %f x" % (mtp))
NewCtnNum = math.ceil(CtnNum / mtp)
print(
"--> Given the utilization here, we want new number of containers in this tier to be (U/(1-U)/R_): ",
NewCtnNum)
'''NewCtnNum = (Xw * R_ - Uw_cpu) / (Xw * R_ * Uw_cpu) * CtnNum
NewCtnNum = int(NewCtnNum) + 1
print(NewCtnNum)'''
NewCtnNum = min(NewCtnNum, 15)
if NewCtnNum > CtnNum:
settings.scale(services["mysql"], NewCtnNum, 1)
elif NewCtnNum < CtnNum:
if NewCtnNum > 0:
settings.scale(services["mysql"], NewCtnNum, -1)
else:
settings.scale(services["mysql"], 1, -1)
'''print("database: ")
print("CPU Usage (avg): {0:.2f}%".format(
getMetrics.calculate_cpu_utilization(nodes, services["mysql"]) * 100))
print("average data arrival rate: %f Kb/s\n" % (
getMetrics.calculate_data_incoming_rate(nodes, services["mysql"])))'''
time.sleep(5)