msetReplicaCtReplicaRate = {}
msetReplicaCtReplicaRate[1] = {}
#---arguments---
nReplicas=1
mSet=1
clfrCount = {}
clfrRate = {}
#testing 1 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#simple performance metrics
clfrCount[0]=8080306
clfrRate[0]=394488
# ------------ 
msetReplicaCtReplicaRate[1][1]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=2
mSet=1
clfrCount = {}
clfrRate = {}
#testing 2 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
clfrCount[1]=8080306
clfrRate[1]=382663
clfrCount[0]=8080306
clfrRate[0]=381939
# ------------ 
msetReplicaCtReplicaRate[1][2]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=4
mSet=1
clfrCount = {}
clfrRate = {}
#testing 4 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
clfrCount[0]=8080306
clfrRate[0]=360390
clfrCount[3]=8080306
clfrRate[3]=360278
clfrCount[2]=8080306
clfrRate[2]=358122
clfrCount[1]=8080306
clfrRate[1]=357220
# ------------ 
msetReplicaCtReplicaRate[1][4]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=8
mSet=1
clfrCount = {}
clfrRate = {}
#testing 8 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
clfrCount[3]=8080306
clfrRate[3]=319254
clfrCount[6]=8080306
clfrRate[6]=319090
clfrCount[7]=8080306
clfrRate[7]=318498
clfrCount[2]=8080306
clfrRate[2]=317647
clfrCount[4]=8080306
clfrRate[4]=317373
clfrCount[5]=8080306
clfrRate[5]=314874
clfrCount[1]=8080306
clfrRate[1]=313142
clfrCount[0]=8080306
clfrRate[0]=312609
# ------------ 
msetReplicaCtReplicaRate[1][8]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=16
mSet=1
clfrCount = {}
clfrRate = {}
#testing 16 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
#loading model from: df.dat
#metrics:
#simple performance metrics
clfrCount[10]=8080306
clfrRate[10]=249031
clfrCount[13]=8080306
clfrRate[13]=247832
clfrCount[11]=8080306
clfrRate[11]=246976
clfrCount[3]=8080306
clfrRate[3]=246930
clfrCount[15]=8080306
clfrRate[15]=246246
clfrCount[8]=8080306
clfrRate[8]=246118
clfrCount[14]=8080306
clfrRate[14]=245595
clfrCount[5]=8080306
clfrRate[5]=245036
clfrCount[4]=8080306
clfrRate[4]=244865
clfrCount[9]=8080306
clfrRate[9]=243860
clfrCount[7]=8080306
clfrRate[7]=242885
clfrCount[0]=8080306
clfrRate[0]=242768
clfrCount[12]=8080306
clfrRate[12]=242172
clfrCount[2]=8080306
clfrRate[2]=242027
clfrCount[6]=8080306
clfrRate[6]=239452
clfrCount[1]=8080306
clfrRate[1]=236924
# ------------ 
msetReplicaCtReplicaRate[1][16]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
msetReplicaCtReplicaRate[2] = {}
#---arguments---
nReplicas=1
mSet=2
clfrCount = {}
clfrRate = {}
#testing 1 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
clfrCount[0]=8080306
clfrRate[0]=387118
# ------------ 
msetReplicaCtReplicaRate[2][1]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=2
mSet=2
clfrCount = {}
clfrRate = {}
#testing 2 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
clfrCount[0]=8080306
clfrRate[0]=376038
clfrCount[1]=8080306
clfrRate[1]=373500
# ------------ 
msetReplicaCtReplicaRate[2][2]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=4
mSet=2
clfrCount = {}
clfrRate = {}
#testing 4 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
clfrCount[0]=8080306
clfrRate[0]=353006
clfrCount[3]=8080306
clfrRate[3]=349343
clfrCount[1]=8080306
clfrRate[1]=347197
clfrCount[2]=8080306
clfrRate[2]=345165
# ------------ 
msetReplicaCtReplicaRate[2][4]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=8
mSet=2
clfrCount = {}
clfrRate = {}
#testing 8 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
clfrCount[1]=8080306
clfrRate[1]=318473
clfrCount[6]=8080306
clfrRate[6]=317260
clfrCount[0]=8080306
clfrRate[0]=316701
clfrCount[2]=8080306
clfrRate[2]=315034
clfrCount[4]=8080306
clfrRate[4]=314348
clfrCount[3]=8080306
clfrRate[3]=314238
clfrCount[5]=8080306
clfrRate[5]=311921
clfrCount[7]=8080306
clfrRate[7]=307634
# ------------ 
msetReplicaCtReplicaRate[2][8]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=16
mSet=2
clfrCount = {}
clfrRate = {}
#testing 16 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
clfrCount[14]=8080306
clfrRate[14]=253198
clfrCount[2]=8080306
clfrRate[2]=252660
clfrCount[8]=8080306
clfrRate[8]=250638
clfrCount[12]=8080306
clfrRate[12]=249839
clfrCount[0]=8080306
clfrRate[0]=248541
clfrCount[7]=8080306
clfrRate[7]=246697
clfrCount[9]=8080306
clfrRate[9]=246546
clfrCount[6]=8080306
clfrRate[6]=245864
clfrCount[4]=8080306
clfrRate[4]=245796
clfrCount[3]=8080306
clfrRate[3]=245736
clfrCount[13]=8080306
clfrRate[13]=245311
clfrCount[15]=8080306
clfrRate[15]=245043
clfrCount[1]=8080306
clfrRate[1]=242761
clfrCount[11]=8080306
clfrRate[11]=241933
clfrCount[5]=8080306
clfrRate[5]=241650
clfrCount[10]=8080306
clfrRate[10]=239147
# ------------ 
msetReplicaCtReplicaRate[2][16]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
msetReplicaCtReplicaRate[3] = {}
#---arguments---
nReplicas=1
mSet=3
clfrCount = {}
clfrRate = {}
#testing 1 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
clfrCount[0]=8080306
clfrRate[0]=384136
# ------------ 
msetReplicaCtReplicaRate[3][1]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=2
mSet=3
clfrCount = {}
clfrRate = {}
#testing 2 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
clfrCount[0]=8080306
clfrRate[0]=364355
clfrCount[1]=8080306
clfrRate[1]=358726
# ------------ 
msetReplicaCtReplicaRate[3][2]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=4
mSet=3
clfrCount = {}
clfrRate = {}
#testing 4 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
clfrCount[0]=8080306
clfrRate[0]=341431
clfrCount[1]=8080306
clfrRate[1]=334450
clfrCount[2]=8080306
clfrRate[2]=311344
clfrCount[3]=8080306
clfrRate[3]=306653
# ------------ 
msetReplicaCtReplicaRate[3][4]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=8
mSet=3
clfrCount = {}
clfrRate = {}
#testing 8 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
clfrCount[0]=8080306
clfrRate[0]=317061
clfrCount[1]=8080306
clfrRate[1]=311776
clfrCount[2]=8080306
clfrRate[2]=290700
clfrCount[7]=8080306
clfrRate[7]=287300
clfrCount[5]=8080306
clfrRate[5]=286495
clfrCount[3]=8080306
clfrRate[3]=283529
clfrCount[6]=8080306
clfrRate[6]=270064
clfrCount[4]=8080306
clfrRate[4]=265015
# ------------ 
msetReplicaCtReplicaRate[3][8]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=16
mSet=3
clfrCount = {}
clfrRate = {}
#testing 16 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
clfrCount[1]=8080306
clfrRate[1]=253024
clfrCount[0]=8080306
clfrRate[0]=246968
clfrCount[2]=8080306
clfrRate[2]=241650
clfrCount[15]=8080306
clfrRate[15]=236522
clfrCount[9]=8080306
clfrRate[9]=236107
clfrCount[7]=8080306
clfrRate[7]=235894
clfrCount[11]=8080306
clfrRate[11]=235509
clfrCount[3]=8080306
clfrRate[3]=235324
clfrCount[13]=8080306
clfrRate[13]=233312
clfrCount[5]=8080306
clfrRate[5]=229092
clfrCount[12]=8080306
clfrRate[12]=225392
clfrCount[8]=8080306
clfrRate[8]=224478
clfrCount[14]=8080306
clfrRate[14]=224359
clfrCount[10]=8080306
clfrRate[10]=223813
clfrCount[6]=8080306
clfrRate[6]=218647
clfrCount[4]=8080306
clfrRate[4]=216358
# ------------ 
msetReplicaCtReplicaRate[3][16]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
msetReplicaCtReplicaRate[4] = {}
#---arguments---
nReplicas=1
mSet=4
clfrCount = {}
clfrRate = {}
#testing 1 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
clfrCount[0]=8080306
clfrRate[0]=358662
# ------------ 
msetReplicaCtReplicaRate[4][1]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=2
mSet=4
clfrCount = {}
clfrRate = {}
#testing 2 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
clfrCount[0]=8080306
clfrRate[0]=335561
clfrCount[1]=8080306
clfrRate[1]=325085
# ------------ 
msetReplicaCtReplicaRate[4][2]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=4
mSet=4
clfrCount = {}
clfrRate = {}
#testing 4 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
clfrCount[1]=8080306
clfrRate[1]=314372
clfrCount[0]=8080306
clfrRate[0]=313969
clfrCount[2]=8080306
clfrRate[2]=283410
clfrCount[3]=8080306
clfrRate[3]=281201
# ------------ 
msetReplicaCtReplicaRate[4][4]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=8
mSet=4
clfrCount = {}
clfrRate = {}
#testing 8 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
clfrCount[0]=8080306
clfrRate[0]=283192
clfrCount[1]=8080306
clfrRate[1]=276998
clfrCount[2]=8080306
clfrRate[2]=263700
clfrCount[7]=8080306
clfrRate[7]=260269
clfrCount[5]=8080306
clfrRate[5]=259300
clfrCount[3]=8080306
clfrRate[3]=256176
clfrCount[4]=8080306
clfrRate[4]=246208
clfrCount[6]=8080306
clfrRate[6]=244288
# ------------ 
msetReplicaCtReplicaRate[4][8]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=16
mSet=4
clfrCount = {}
clfrRate = {}
#testing 16 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
clfrCount[1]=8080306
clfrRate[1]=220256
clfrCount[0]=8080306
clfrRate[0]=217728
clfrCount[7]=8080306
clfrRate[7]=217493
clfrCount[11]=8080306
clfrRate[11]=213719
clfrCount[15]=8080306
clfrRate[15]=213567
clfrCount[13]=8080306
clfrRate[13]=213471
clfrCount[9]=8080306
clfrRate[9]=212959
clfrCount[2]=8080306
clfrRate[2]=212477
clfrCount[5]=8080306
clfrRate[5]=212455
clfrCount[3]=8080306
clfrRate[3]=211388
clfrCount[10]=8080306
clfrRate[10]=204705
clfrCount[14]=8080306
clfrRate[14]=204167
clfrCount[12]=8080306
clfrRate[12]=202916
clfrCount[6]=8080306
clfrRate[6]=202063
clfrCount[8]=8080306
clfrRate[8]=202028
clfrCount[4]=8080306
clfrRate[4]=201625
# ------------ 
msetReplicaCtReplicaRate[4][16]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
msetReplicaCtReplicaRate[5] = {}
#---arguments---
nReplicas=1
mSet=5
clfrCount = {}
clfrRate = {}
#testing 1 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
clfrCount[0]=8080306
clfrRate[0]=163675
# ------------ 
msetReplicaCtReplicaRate[5][1]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=2
mSet=5
clfrCount = {}
clfrRate = {}
#testing 2 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
clfrCount[0]=8080306
clfrRate[0]=157088
clfrCount[1]=8080306
clfrRate[1]=155277
# ------------ 
msetReplicaCtReplicaRate[5][2]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=4
mSet=5
clfrCount = {}
clfrRate = {}
#testing 4 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
clfrCount[1]=8080306
clfrRate[1]=145736
clfrCount[0]=8080306
clfrRate[0]=143464
clfrCount[2]=8080306
clfrRate[2]=140696
clfrCount[3]=8080306
clfrRate[3]=140198
# ------------ 
msetReplicaCtReplicaRate[5][4]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=8
mSet=5
clfrCount = {}
clfrRate = {}
#testing 8 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
clfrCount[0]=8080306
clfrRate[0]=133090
clfrCount[1]=8080306
clfrRate[1]=132410
clfrCount[2]=8080306
clfrRate[2]=127720
clfrCount[3]=8080306
clfrRate[3]=126510
clfrCount[7]=8080306
clfrRate[7]=126419
clfrCount[5]=8080306
clfrRate[5]=125490
clfrCount[6]=8080306
clfrRate[6]=123956
clfrCount[4]=8080306
clfrRate[4]=123048
# ------------ 
msetReplicaCtReplicaRate[5][8]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
#---arguments---
nReplicas=16
mSet=5
clfrCount = {}
clfrRate = {}
#testing 16 replicas
# ------------ 
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
#loading model from: df.dat
#metrics:
#wide performance metric vector.
#application label.
#host profile.
#queue mates.
clfrCount[1]=8080306
clfrRate[1]=105606
clfrCount[0]=8080306
clfrRate[0]=104196
clfrCount[15]=8080306
clfrRate[15]=103433
clfrCount[11]=8080306
clfrRate[11]=102981
clfrCount[7]=8080306
clfrRate[7]=102860
clfrCount[13]=8080306
clfrRate[13]=102078
clfrCount[3]=8080306
clfrRate[3]=102067
clfrCount[9]=8080306
clfrRate[9]=101366
clfrCount[2]=8080306
clfrRate[2]=101300
clfrCount[5]=8080306
clfrRate[5]=100793
clfrCount[10]=8080306
clfrRate[10]=100736
clfrCount[14]=8080306
clfrRate[14]=100621
clfrCount[12]=8080306
clfrRate[12]=100529
clfrCount[4]=8080306
clfrRate[4]=99657.2
clfrCount[8]=8080306
clfrRate[8]=99516.1
clfrCount[6]=8080306
clfrRate[6]=99481.8
# ------------ 
msetReplicaCtReplicaRate[5][16]={'clfrRates':clfrRate, 'clfrCounts':clfrCount}
