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PCP_org_v01.py
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PCP_org_v01.py
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#!/usr/bin/env Python
#https://networkx.github.io/documentation/networkx-1.10/reference/classes.digraph.html
import sys
import os
import os.path
import tempfile
import math
import networkx as nx
import re
from optparse import OptionParser
G = nx.DiGraph()
number_of_nodes = 0
step = 0
deadline = 0
instances = []
n_service1_inst = 0
n_service2_inst = 0
n_service3_inst = 0
verbose = 0
prices = []
tot_idle = 0
def dumpJSON(start,end):
print "{"
print " \"nodes\": ["
for u in xrange(start,end):
print " { \"order\":",str(G.node[u]["order"])+","
print " \"name\":","\""+G.node[u]["name"]
#print " \"name\":","\""+G.node[u]["name"]+"\","
#print " \"time1\":",str(G.node[u]["time1"])+","
#print " \"time2\":",str(G.node[u]["time2"])+","
#print " \"time3\":",str(G.node[u]["time3"])+","
#print " \"EST\":",str(G.node[u]["EST"])+","
#print " \"EFT\":",str(G.node[u]["EFT"])+","
#print " \"LST\":",str(G.node[u]["LST"])+","
#print " \"LFT\":",str(G.node[u]["LFT"])+","
#print " \"assigned\":",str(G.node[u]["assigned"])+","
#print " \"Service\":",str(G.node[u]["Service"])+","
#print " \"Instance\":",str(G.node[u]["Instance"])+","
#print " \"time\":",str(G.node[u]["time"])
print " },"
print " { \"order\":",str(G.node[end]["order"])+","
print " \"name\":","\""+ G.node[end]["name"]
#print " \"name\":","\""+ G.node[end]["name"]+"\","
#print " \"time1\":",str(G.node[end]["time1"])+","
#print " \"time2\":",str(G.node[end]["time2"])+","
#print " \"time3\":",str(G.node[end]["time3"])+","
#print " \"EST\":",str(G.node[end]["EST"])+","
#print " \"EFT\":",str(G.node[end]["EFT"])+","
#print " \"LST\":",str(G.node[end]["LST"])+","
#print " \"LFT\":",str(G.node[end]["LFT"])+","
#print " \"assigned\": ",str(G.node[end]["assigned"])+","
#print " \"Service\": ",str(G.node[end]["Service"])+","
#print " \"Instance\": ",str(G.node[end]["Instance"])+","
#print " \"time\": ",str(G.node[end]["time"])
print " }"
print " ],"
print " \"links\": ["
num_edges = G.number_of_edges()
nedge = 0
for (u,v) in G.edges():
nedge += 1
print " { \"source\":","\""+G.node[u]["name"]+"\","
print " \"target\":","\""+G.node[v]["name"]+"\","
print " \"throughput\":",str(G[u][v]["throughput"])+","
print " \"inpath\": 0"
if nedge<num_edges :
print " },"
else :
print " }"
print " ]"
print "}"
def checkGraphTimes():
retVal1 = graphCheckEST( )
retVal2 = graphCheckLFT( )
if retVal1<0 or retVal2<0 :
return -1
else:
return 0
def graphCheckEST( ):
for n in xrange(0, number_of_nodes) :
nservice = G.node[n]["Service"]
ninstance = G.node[n]["Instance"]
maxest = 0
dominant_parent = -1
p_iter = G.predecessors(n)
while True :
try:
p = p_iter.next()
pservice = G.node[p]["Service"]
pinstance = G.node[p]["Instance"]
est = G.node[p]["EFT"]
lcost = G[p][n]["throughput"]
if pservice == nservice :
#if pservice == 0 or nservice == 0 :
# est += lcost
if pinstance == -1 or ninstance == -1 or pinstance != ninstance :
est += lcost
else:
est += lcost
if est>maxest :
maxest = est
dominant_parent = p
except StopIteration:
break
# node with no parents has zero EST
if maxest>deadline :
print "\n**** Wrong EST: "+"EST("+G.node[n]["name"]+")="+str(G.node[n]["EST"])+", EST from dominant parent("+G.node[dominant_parent]["name"]+")="+str(maxest)+"; deadline="+str(deadline)
return -1
elif G.node[n]["EST"] < maxest :
print "\n**** EST mismatch: "+"EST("+G.node[n]["name"]+")="+str(G.node[n]["EST"])+" < "+"EST("+G.node[dominant_parent]["name"]+")="+str(maxest)
return -1
elif G.node[n]["EST"] > deadline:
print "\n**** Wrong EST: "+"EST("+G.node[n]["name"]+")="+str(G.node[n]["EST"])+"> deadline="+str(deadline)
return -1
return 0
def graphCheckLFT( ):
for n in xrange(0, number_of_nodes) :
nservice = G.node[n]["Service"]
ninstance = G.node[n]["Instance"]
minlft = deadline
dominant_child = -1
c_iter = G.successors(n)
while True :
try:
c = c_iter.next()
cservice = G.node[c]["Service"];
cinstance = G.node[c]["Instance"];
lft = G.node[c]["LST"]
lcost = G[n][c]["throughput"]
if cservice == nservice :
#if cservice == 0 or nservice == 0 :
# lft -= lcost
if cinstance == -1 or ninstance == -1 or cinstance != ninstance :
lft -= lcost
else:
lft -= lcost
if lft<minlft :
dominant_child = c
minlft = lft
except StopIteration:
break
# node with no children has LFT equals deadline
if minlft<0 :
print "\n**** Negative LFT : "+"LFT("+G.node[n]["name"]+")="+str(G.node[n]["LFT"])+" LFT from dominant child("+G.node[dominant_child]["name"]+")="+str(minlft)
return -1
elif G.node[n]["LFT"] > minlft :
print "\n**** LFT mismatch: "+"LFT("+G.node[n]["name"]+")="+str(G.node[n]["LFT"])+" > "+"LFT("+G.node[dominant_child]["name"]+")="+str(minlft)
return -1
elif G.node[n]["LFT"] <0 :
print "\n**** Negative LFT : "+"LFT("+G.node[n]["name"]+")="+str(G.node[n]["LFT"])
return -1
return 0
def checkIdleTime( ):
tot_idle = 0
idles = "\n"
for i in xrange(0, len(instances)) :
if len(instances[i])>1:
for j in xrange(0, len(instances[i])-1) :
idle_time = G.node[instances[i][j+1]]["EST"]-G.node[instances[i][j]]["EFT"]
if idle_time>0 :
tot_idle += idle_time
idles += "\n Instance["+str(i)+"] constains idle time: "+"EST("+G.node[instances[i][j+1]]["name"]+")-EFT("+G.node[instances[i][j]]["name"]+")>0"
print idles
return tot_idle
def splitInstances( ):
global G, instances
new_instances = []
for i in xrange(0, len(instances)) :
if len(instances[i])>1:
split_index = []
split_instances = []
for j in xrange(0, len(instances[i])-1) :
comm_time = G[instances[i][j]][instances[i][j+1]]["throughput"]
idle_time = G.node[instances[i][j+1]]["EST"]-G.node[instances[i][j]]["EFT"]
if idle_time>0 :
if idle_time>=comm_time :
split_index.append(j+1)
print "split instance("+str(i)+") at index "+str(j+1)+" idle_time="+str(idle_time)+" througput="+str(comm_time)
#adjust throughput
G[instances[i][j]][instances[i][j+1]]["throughput"] = idle_time
if len(split_index)>0:
prev = 0
for k in xrange(0,len(split_index)):
new_instances.append(instances[i][prev:split_index[k]])
prev = split_index[k]
new_instances.append(instances[i][prev:])
else:
new_instances.append(instances[i])
else:
new_instances.append(instances[i])
if len(new_instances)>0:
instances = []
for i in xrange(0, len(new_instances)) :
instances.append(new_instances[i])
adjustInstanceAttributes( )
return
def updateGraphTimes():
graphAssignEST( number_of_nodes-1 )
graphAssignLFT( 0 )
visited = []
def graphAssignEST( d ):
global visited
visited = []
for i in xrange(0,number_of_nodes):
visited.append(0)
graphCalcEFT( d )
def graphCalcEFT( d ):
global G, visited
if verbose>1:
print "graphCalcEFT("+str(d)+")"
if visited[d] == 1 :
return G.node[d]["EFT"]
visited[d] = 1
nservice = G.node[d]["Service"]
ninstance = G.node[d]["Instance"]
maxest = 0
predecessors = []
p_iter = G.predecessors( d )
while True:
try:
p = p_iter.next()
predecessors.append(p)
except StopIteration:
break
if verbose>1 :
print "predecessors("+str(d)+"):",predecessors
for p in predecessors :
pservice = G.node[p]["Service"]
pinstance = G.node[p]["Instance"]
if verbose>1 :
print "a) graphCalcEFT( "+str(p)+" )"
est = graphCalcEFT( p )
if verbose>1 :
print "a) est="+str(est)+" <-graphCalcEFT( "+str(p)+" )"
lcost = G[p][d]["throughput"]
if pservice == nservice :
if pservice == 0 or nservice == 0 :
est += lcost
elif pinstance == -1 or ninstance == -1 or pinstance != ninstance :
est += lcost
else:
est += lcost
if est>maxest :
maxest = est
# node with no parents has zero EST
ceft = maxest
G.node[d]["EST"] = ceft
if nservice == 0 :
ceft += G.node[d]["time1"]
elif nservice == 1 :
ceft += G.node[d]["time1"]
elif nservice == 2 :
ceft += G.node[d]["time2"]
elif nservice == 3 :
ceft += G.node[d]["time3"]
else:
ceft += G.node[d]["time1"]
G.node[d]["EFT"] = ceft
if verbose>1:
print G.node[d]["name"]+": EST="+str(G.node[d]["EST"]),",","EFT="+str(G.node[d]["EFT"])
return G.node[d]["EFT"]
def graphAssignLFT( d ):
global visited
visited = []
for i in xrange(0,number_of_nodes):
visited.append(0)
graphCalcLST( d )
def graphAssignLFT( d ):
global visited
visited = []
for i in xrange(0,number_of_nodes):
visited.append(0)
graphCalcLST( d )
def graphCalcLST( d ):
global G, visited
if verbose>1:
print "graphCalcLST("+str(d)+")"
if visited[d] == 1 :
return G.node[d]["LST"]
if verbose>1 :
print "graphCalcLST("+str(d)+")"
visited[d] = 1
nservice = G.node[d]["Service"]
ninstance = G.node[d]["Instance"]
minlft = deadline
successors = []
c_iter = G.successors( d )
while True:
try:
c = c_iter.next()
successors.append(c)
except StopIteration:
break
for c in successors :
cservice = G.node[c]["Service"]
cinstance = G.node[c]["Instance"]
if verbose>1 :
print "a) graphCalcLST( "+str(c)+" )"
lft = graphCalcLST( c )
if verbose>1 :
print "a) lft="+str(lft)+" <-graphCalcLST( "+str(c)+" )"
lcost = G[d][c]["throughput"]
if cservice == nservice :
if cservice == 0 or nservice == 0 :
lft -= lcost
elif cinstance == -1 or ninstance == -1 or cinstance != ninstance :
lft -= lcost
else:
lft -= lcost
if lft<minlft :
minlft = lft
# node with no children has LFT equals deadline
clft = minlft
G.node[d]["LFT"] = clft
if nservice == 0 :
clft -= G.node[d]["time1"]
elif nservice == 1 :
clft -= G.node[d]["time1"]
elif nservice == 2 :
clft -= G.node[d]["time2"]
elif nservice == 3 :
clft -= G.node[d]["time3"]
else:
clft -= G.node[d]["time1"]
G.node[d]["LST"] = clft
if verbose>1:
print G.node[d]["name"]+": EST="+str(G.node[d]["LST"]),",","EFT="+str(G.node[d]["LFT"])
return G.node[d]["LST"]
def printGraphTimes():
trow = "\nname "
for n in xrange(0,number_of_nodes):
trow += G.node[n]["name"]
trow += " "
print trow
trow = "VM "
for n in xrange(0,number_of_nodes):
trow += str(G.node[n]["Service"])
trow += " "
print trow
trow = "perf "
for n in xrange(0,number_of_nodes):
vm = G.node[n]["Service"]
if vm == 3:
trow += str(G.node[n]["time3"])
elif vm == 2:
trow += str(G.node[n]["time2"])
else:
trow += str(G.node[n]["time1"])
trow += " "
print trow
trow = "\nEST "
for n in xrange(0,number_of_nodes):
trow += str( G.node[n]["EST"] )
trow += " "
print trow
trow = "EFT "
for n in xrange(0,number_of_nodes):
trow += str( G.node[n]["EFT"] )
trow += " "
print trow
trow = "LST "
for n in xrange(0,number_of_nodes):
trow += str( G.node[n]["LST"] )
trow += " "
print trow
trow = "LFT "
for n in xrange(0,number_of_nodes):
trow += str( G.node[n]["LFT"] )
trow += " "
print trow+"\n"
trow = "EFT-EST "
for n in xrange(0,number_of_nodes):
trow += str( G.node[n]["EFT"]-G.node[n]["EST"] )
trow += " "
print trow
trow = "LFT-LST "
for n in xrange(0,number_of_nodes):
trow += str( G.node[n]["LFT"]-G.node[n]["LST"] )
trow += " "
print trow+"\n"
def printPerformances():
trow = "\n "
for n in xrange(0,number_of_nodes):
trow += G.node[n]["name"]
trow += " "
print trow
trow = "VM1 "
for n in xrange(0,number_of_nodes):
trow += str( G.node[n]["time1"] )
trow += " "
print trow
trow = "VM2 "
for n in xrange(0,number_of_nodes):
trow += str( G.node[n]["time2"] )
trow += " "
print trow
trow = "VM3 "
for n in xrange(0,number_of_nodes):
trow += str( G.node[n]["time3"] )
trow += " "
print trow+"\n"
def assignParents( d ):
if verbose>0 :
print "\nassignParents("+G.node[d]["name"]+")"
while hasUnassignedParents( d ) :
pcp = []
di = d
while hasUnassignedParents( di ) :
cp = getCriticalParent( di )
if cp == -1 :
break
pcp = [cp] + pcp
di = cp
cpath = ""
for j in pcp :
cpath += " "+G.node[j]["name"]
if verbose>0 :
print "\nfound PCP("+G.node[d]["name"]+"): ",cpath
retval = assignPath( pcp )
if retval == -1:
return
if verbose>0 :
print "\nPCP("+G.node[d]["name"]+"): ",cpath,"assigned"
updateGraphTimes()
if verbose>0 :
printGraphTimes( )
for j in pcp :
#updateSuccessors( j )
#updatePredecessors( j )
#if verbose>0 :
# print "Updated Successors and Predecessors of "+G.node[j]["name"]+" in path("+cpath+")"
# printGraphTimes( )
assignParents( j )
return
def hasUnassignedParents( d ):
# unassigned parents?
unassigned = 0
p_iter = G.predecessors(d)
while True :
try:
p = p_iter.next()
if G.node[p]["assigned"] == 0:
unassigned += 1
except StopIteration:
break
if unassigned == 0 :
return False
else:
return True
def hasUnassignedChildren( d ):
# unassigned cildren?
unassigned = 0
c_iter = G.successors(d)
while True :
try:
c = c_iter.next()
if G.node[c]["assigned"] == 0:
unassigned += 1
except StopIteration:
break
if unassigned == 0 :
return False
else:
return True
def getCriticalParent( d ):
max_time = 0
cp = -1
d_est = G.node[d]["EST"]
p_iter = G.predecessors(d)
while True :
try:
p = p_iter.next()
if G.node[p]["assigned"] == 0 :
ctime = G.node[p]["EFT"]
ctime += G[p][d]["throughput"]
if ctime >= max_time :
max_time = ctime
cp = p
except StopIteration:
break
return cp
def getCriticalPath( d ):
pcp = []
di = d
while hasUnassignedParents( di ) :
cp = getCriticalParent( di )
if cp == -1 :
break
pcp = [cp] + pcp
di = cp
pcp.append(d)
return pcp
def assignPath( p ):
global G,instances,n_service1_inst,n_service2_inst,n_service3_inst
if len(p) == 0 :
print "Zero path len: no assignment possible"
return -1
p_len = len(p)
p_str = "path:"
for j in p :
p_str += " "+G.node[j]["name"]
p_cas = -1
p_cost = 2*number_of_nodes*prices[0]
# assignment possible?
prop_cas = getCheapestAssignment( p )
if prop_cas == 0 :
if verbose> 0 :
print "no pre assignment found for: ",p_str
elif prop_cas>0 :
p_cas = prop_cas
if verbose> 0 :
print "pre assignment "+str(p_cas)+" for path ",p_str
if p_cas>0:
p_time = getInstanceTime( p_cas, p )
if p_cas == 1 :
p_cost = p_time*prices[0]
elif p_cas == 2 :
p_cost = p_time*prices[1]
elif p_cas == 3 :
p_cost = p_time*prices[2]
best_inst = -1
best_inst_cas = -1
best_inst_cost = 2*number_of_nodes*prices[0]
if len(instances)>0 :
for i in xrange(0, len(instances)) :
inst_len = len(instances[i])
if (p[0] in G.successors(instances[i][inst_len-1])) or (p[p_len-1] in G.predecessors(instances[i][0])):
inst_cas = G.node[instances[i][0]]["Service"]
inst_time = getInstanceTime( inst_cas, instances[i] )
inst_cost = -1
if inst_cas == 1 :
inst_cost = inst_time*prices[0]
elif inst_cas == 2 :
inst_cost = inst_time*prices[1]
elif inst_cas == 3 :
inst_cost = inst_time*prices[2]
new_inst = []
if G.node[p[0]]["EST"]>=G.node[instances[i][inst_len-1]]["EFT"]:
for j in xrange(0,inst_len):
new_inst.append(instances[i][j])
for j in xrange(0,p_len):
new_inst.append(p[j])
elif G.node[p[p_len-1]]["EFT"]<=G.node[instances[i][0]]["EST"]:
for j in xrange(0,p_len):
new_inst.append(p[j])
for j in xrange(0,inst_len):
new_inst.append(instances[i][j])
# prop_cas may differ inst_cas of old instance !
prop_cas = getCheapestAssignment( new_inst )
if prop_cas>0:
new_inst_time = getInstanceTime( prop_cas, new_inst )
new_inst_cost = -1
if prop_cas == 1 :
new_inst_cost = new_inst_time*prices[0]
elif prop_cas == 2 :
new_inst_cost = new_inst_time*prices[1]
elif prop_cas == 3 :
new_inst_cost = new_inst_time*prices[2]
if p_cas == -1:
if verbose>0 :
print "check extended instance",new_inst,"with prop_cas="+str(prop_cas)
print "new_inst_cost="+str(new_inst_cost),"<","best_inst_cost="+str(best_inst_cost)+"?:",
if new_inst_cost<best_inst_cost:
best_inst = i
best_inst_cas = prop_cas
best_inst_cost = new_inst_cost
if verbose>0 :
print "Yes"
else:
if verbose>0 :
print "No"
else:
if verbose>0 :
print "check extended instance",new_inst,"with prop_cas="+str(prop_cas)
print "new_inst_cost="+str(new_inst_cost),"<=","(inst_cost="+str(inst_cost)+"+p_cost="+str(p_cost)+")?:",
if new_inst_cost<=(inst_cost+p_cost):
if verbose>0 :
print "Yes"
if verbose>0 :
print "new_inst_cost="+str(new_inst_cost),"<","best_inst_cost="+str(best_inst_cost)+"?:",
if new_inst_cost<best_inst_cost:
best_inst = i
best_inst_cas = prop_cas
best_inst_cost = new_inst_cost
if verbose>0 :
print "Yes"
else:
if verbose>0:
print "No"
else:
if verbose>0:
print "No"
# prefer old instance
if best_inst>=0 :
best_inst_len = len(instances[best_inst])
old_inst_cas = G.node[instances[best_inst][0]]["Service"]
old_inst_est = G.node[instances[best_inst][0]]["EST"]
old_inst_lft = G.node[instances[best_inst][best_inst_len-1]]["LFT"]
# best_inst_cas may differ form old_inst_cas
if best_inst_cas != old_inst_cas:
for j in xrange(0,best_inst_len):
G.node[instances[best_inst][j]]["Service"] = best_inst_cas
if verbose>0:
print "adjustInstanceAttributes due to new assignment of instance",str(best_inst)
adjustInstanceAttributes( )
best_inst_num = G.node[instances[best_inst][0]]["Instance"]
add_before = False
if G.node[p[0]]["EST"]>=G.node[instances[best_inst][best_inst_len-1]]["EFT"]:
if verbose>0 :
print "add path at end of old instance "+str(best_inst),"of Service "+str(best_inst_cas)
for j in xrange(0,p_len):
instances[best_inst].append(p[j])
else:
add_before = True
if verbose>0 :
print "add path at begin of old instance "+str(best_inst),"of Service "+str(best_inst_cas)
for j in xrange(0,p_len):
k = p_len-1-j
instances[best_inst].insert(0, p[k])
for j in p:
G.node[j]["Service"] = best_inst_cas
G.node[j]["Instance"] = best_inst_num
G.node[j]["assigned"] = 1
if best_inst_cas == 1 :
G.node[j]["time"] = G.node[j]["time1"]
elif best_inst_cas == 2 :
G.node[j]["time"] = G.node[j]["time2"]
elif best_inst_cas == 3 :
G.node[j]["time"] = G.node[j]["time3"]
est = old_inst_est
# adjust EST
if add_before :
est = G.node[p[0]]["EST"]
for j in instances[best_inst]:
G.node[j]["EST"] = est
est += G.node[j]["time"]
G.node[j]["EFT"] = est
# adjust LFT
lft = G.node[p[p_len-1]]["LFT"]
if add_before :
lft = old_inst_lft
for j in xrange(0,len(instances[best_inst])):
k = len(instances[best_inst])-1-j
G.node[instances[best_inst][k]]["LFT"] = lft
lft -= G.node[instances[best_inst][k]]["time"]
G.node[instances[best_inst][k]]["LST"] = lft
return 1
elif p_cas>0 :
if verbose>0 :
print "add path to new instance ",str(len(instances)),"of Service "+str(p_cas)
inst_num = -1
new_instance = []
for i in p :
new_instance.append( i )
instances.append( new_instance )
if p_cas == 1:
n_service1_inst += 1
inst_num = n_service1_inst
if p_cas == 2:
n_service2_inst += 1
inst_num = n_service2_inst
if p_cas == 3:
n_service3_inst += 1
inst_num = n_service3_inst
for j in p:
G.node[j]["Service"] = p_cas
G.node[j]["Instance"] = inst_num
G.node[j]["assigned"] = 1
if p_cas == 1 :
G.node[j]["time"] = G.node[j]["time1"]
elif p_cas == 2 :
G.node[j]["time"] = G.node[j]["time2"]
elif p_cas == 3 :
G.node[j]["time"] = G.node[j]["time3"]
#for j in p:
# print G.node[j]["name"],": assigned="+str(G.node[j]["assigned"]),"Service="+str(G.node[j]["Service"]),"Instance="+str(G.node[j]["Instance"]),"time="+str(G.node[j]["time"]),"EST="+str(G.node[j]["EST"]),"EFT="+str(G.node[j]["EFT"]),"LST="+str(G.node[j]["LST"]),"LFT="+str(G.node[j]["LFT"])
est = G.node[p[0]]["EST"]
for j in p:
G.node[j]["EST"] = est
est += G.node[j]["time"]
G.node[j]["EFT"] = est
# adjust LFT
lft = G.node[p[p_len-1]]["LFT"]
for j in xrange(0,len(p)):
k = len(p)-1-j
G.node[p[k]]["LFT"] = lft
lft -= G.node[p[k]]["time"]
G.node[p[k]]["LST"] = lft
return 1
else:
print "assignment failed for path",p_str
return -1
def getCheapestAssignment( p ) :
if len(p) == 0 :
return 0
n_nodes = len(p)
p_str = "path:"
for j in p :
p_str += " "+G.node[j]["name"]
if verbose>0 :
print "getCheapestAssignment("+p_str+")"
new_best_cas = 0
new_best_cost = 0
if checkClusterLimits( 1, p ):
new_best_cas = 1
new_instance_time = getInstanceTime( 1, p )
new_best_cost = new_instance_time*prices[0]
if checkClusterLimits( 2, p ):
new_best_cas = 2
new_instance_time = getInstanceTime( 2, p )
new_best_cost = new_instance_time*prices[1]
if checkClusterLimits( 3, p ):
new_best_cas = 3
new_instance_time = getInstanceTime( 3, p )
new_best_cost = new_instance_time*prices[2]
if new_best_cas>0 :
if verbose>0 :
print "proposal assignment "+str(new_best_cas)+"("+str(new_instance_time)+") for "+p_str
else:
if verbose>0 :
print "proposal assignment "+str(new_best_cas)+" for "+p_str
if verbose>0 :
print "cheapest assignment "+str(new_best_cas)+" for "+p_str
return new_best_cas
def checkClusterLimits( l, p ) :
p_len = len(p)
lft_limit_p = G.node[ p[p_len-1] ]["LFT"]
est_p = G.node[p[0]]["EST"]
if verbose>0 :
print "checkClusterLimits for service "+str(l)
possible = True
incr_inst_time = 0
for i in xrange(0,len(p)) :
pi_time = 0
if l==1 :
pi_time = G.node[p[i]]["time1"]
elif l==2 :
pi_time = G.node[p[i]]["time2"]
elif l==3 :
pi_time = G.node[p[i]]["time3"]
else:
pi_time = G.node[p[i]]["time1"]
incr_inst_time += pi_time
inst_eft = est_p + incr_inst_time
if verbose>0 :
print "R1 p["+str(i)+"]="+G.node[p[i]]["name"]+": inst_eft="+str(inst_eft)+">LFT("+str(G.node[p[i]]["name"])+")="+str(G.node[p[i]]["LFT"])+"?",
if inst_eft>G.node[p[i]]["LFT"] :
if verbose>0 :
print " Yes"
possible = False
return possible
else:
if verbose>0 :
print " No"
return possible
def getInstanceTime( c, p ):
inst_time = 2*deadline
if len(p)>0 :
inst_time = 0
for i in p :
if c == 1 :
inst_time += G.node[i]["time1"]
elif c == 2 :
inst_time += G.node[i]["time2"]
elif c == 3 :
inst_time += G.node[i]["time3"]
else:
inst_time += deadline
return inst_time
def adjustInstanceAttributes( ):
global G, instances, n_service1_inst,n_service2_inst,n_service3_inst
n_service1_inst = 0
n_service2_inst = 0
n_service3_inst = 0
for i in xrange(0,len(instances)):
service = G.node[instances[i][0]]["Service"]
inst_num = -1
if service == 1:
n_service1_inst += 1
inst_num = n_service1_inst
if service == 2:
n_service2_inst += 1
inst_num = n_service2_inst
if service == 3:
n_service3_inst += 1
inst_num = n_service3_inst
for j in xrange(0,len(instances[i])):
G.node[instances[i][j]]["Instance"] = inst_num
def updateSuccessors( p ):
global G
#
# all successors, as LST of successors applied
if hasUnassignedChildren( p ) :
successors = []
c_iter = G.successors(p)
while True :
try:
c = c_iter.next()
successors.append(c)
except StopIteration:
break
for c in successors :
#if G.node[c]["assigned"] == 0 or (G.node[c]["time1"]==0 and G.node[c]["time2"]==0 and G.node[c]["time3"]==0):
if G.node[c]["assigned"] == 0 :
ctime = G.node[p]["EFT"]
ctime += G[p][c]["throughput"]
# see 1.16.2.4 this depends on the number of assigned parents
# as updates proceeds from entry node to exit node, skip if statement
#if ctime>G.node[c]["EST"] :
G.node[c]["EST"] = ctime
G.node[c]["EFT"] = ctime + G.node[c]["time1"]
updateSuccessors( c )
def updatePredecessors( c ):
global G
if hasUnassignedParents( c ) :
predecessors = []
p_iter = G.predecessors(c)
while True :
try:
p = p_iter.next()
predecessors.append(p)
except StopIteration:
break
for p in predecessors :
#if G.node[p]["assigned"] == 0 or (G.node[p]["time1"]==0 and G.node[p]["time2"]==0 and G.node[p]["time3"]==0):
if G.node[p]["assigned"] == 0 :
ctime = G.node[c]["LFT"]
if G.node[c]["assigned"] == 1 :
ctime -= G.node[c]["time"]
else:
ctime -= G.node[c]["time1"]
ctime -= G[p][c]["throughput"]
# see 1.16.2.4 this depends on the number of assigned children
# skip if statement
#if ctime<G.node[p]["LFT"] :
G.node[p]["LFT"] = ctime
G.node[p]["LST"] = ctime - G.node[p]["time1"]
updatePredecessors( p )
def updateNode( n ):
nservice = G.node[n]["Service"]
ninstance = G.node[n]["Instance"]
predecessors = []
p_iter = G.predecessors(n)
while True :
try:
p = p_iter.next()
predecessors.append(p)
except StopIteration: