def iso_map_static(all_values):
"""
all_values in list of list format [[VM1cpu,Vm1 mem, vm2cpu, vm2mem],[],..]
"""
print len(all_values)
# file =open("VM.classes", 'rb')
# label = np.array(ast.literal_eval(file.readline()))
X = numpy.array(all_values)
print "Actual Values: ",X
#For all the dimensions normalise the value range between 0 and 1
#use ceiling function to remove small noise
X = util.scale(X)
for i in xrange(12,len(all_values)):
print len(X[0])
print X[:i]
n_neighbors = 10
#Y = manifold.Isomap(n_neighbors, 2, max_iter= 4000).fit_transform(X)
Y = manifold.MDS().fit_transform(X[:i])
#Y = manifold.LocallyLinearEmbedding().fit_transform(X)
old_values = Y[:-1]
new_value = Y[-1:]
plot.animated_plot(old_values, new_value)
def iso_map_dynamic(current_value_list, label, transition, closest_monitor_range, action_status):
dynamic_all_values.append(current_value_list)
write_as_template(dynamic_all_values, violation_position)
if(len(dynamic_all_values) > 12):
X = numpy.array(dynamic_all_values)
# print "Actual Values: ",X
#For all the dimensions normalise the value range between 0 and 1
#use ceiling function to remove small noise
X = util.scale(X)
util.compute_utilization(util.scale_list(current_value_list))
#n_neighbors = 10
#Y = manifold.Isomap(n_neighbors, 2, max_iter= 4000).fit_transform(X)
Y = manifold.MDS().fit_transform(X)
#Y = manifold.LocallyLinearEmbedding().fit_transform(X)
old_values = Y[:-1]
new_value = Y[-1:]
plot.animated_plot(old_values, new_value, violation_position, action_status)
if closest_monitor_range:
closest_range_position.append(len(dynamic_all_values) -1)
# If transition, remove all the values until the closest_range_position
# remove matching violation_position. It is important to do this before violation position is included inorder to feed in the updated (correct)
# position of dynamic_values to violation_position.
if transition:
# print "!!!!!!!!!!Transition detected!!!!!!!!!! "
# print "Closest Range positions (before): " ,closest_range_position
# print "Violation positions (before) ", violation_position
# print "Length All Values (before): ", len(dynamic_all_values)
# reversed is important. Remove elements at the end first to avoid messing up index in subsequent deletions.
if len(closest_range_position) >1:
for position in reversed(xrange(closest_range_position[-2]+1, closest_range_position[-1])):
print "Deleting element in position: ", position
del dynamic_all_values[position]
if position in violation_position:
violation_position.remove(position)
#closest_Range_position[-1] does not anymore hold the right position. update the position by number of elements deleted.
closest_range_position[-1] = closest_range_position[-1] - abs(closest_range_position[-2]+1 - closest_range_position[-1])
# print "Length All Values (after): ", len(dynamic_all_values)
# print "Violation positions (after) ", violation_position
# print "Closest Range positions (after): " ,closest_range_position
# Append the position of the violation only after plotting
# inorder to plot the current value as current point instead of a violation
if label:
violation_position.append(len(dynamic_all_values)-1)
