From 8f5e3d13e8c6daee6f3dcc8f0e5753c1e4a20046 Mon Sep 17 00:00:00 2001
From: Maxime MORGE <maxime.morge@univ-lille.fr>
Date: Tue, 20 Jun 2023 14:13:18 +0200
Subject: [PATCH] PSSI: XP for consumption from 80

---
 ...ps5allocations040-320tasksDetailed8-40.csv | 52 +++++++++----------
 .../consumer/ConsumptionCampaign.scala        |  2 +-
 2 files changed, 27 insertions(+), 27 deletions(-)

diff --git a/experiments/consumer/data/consumption4jobs8nodes5staps5allocations040-320tasksDetailed8-40.csv b/experiments/consumer/data/consumption4jobs8nodes5staps5allocations040-320tasksDetailed8-40.csv
index 592f451a..ac8b1df6 100644
--- a/experiments/consumer/data/consumption4jobs8nodes5staps5allocations040-320tasksDetailed8-40.csv
+++ b/experiments/consumer/data/consumption4jobs8nodes5staps5allocations040-320tasksDetailed8-40.csv
@@ -1,26 +1,26 @@
-m,l,n,randomGenerationRule,InitialLocalAvailabilityRatio,InitialGlobalFlowtime,InitialSimulatedFlowtime,DecentralizedBalancerMultiDelegationGlobalFlowtime00MeanRealFlowtime,DecentralizedBalancerMultiDelegationGlobalFlowtime01MeanGlobalFlowtime,DecentralizedBalancerMultiDelegationGlobalFlowtime02SolvingTime,DecentralizedBalancerMultiDelegationGlobalFlowtime03LocalRatio,DecentralizedBalancerMultiDelegationGlobalFlowtime04SuccessfulRate,DecentralizedBalancerMultiDelegationGlobalFlowtime05NbDelegations,DecentralizedBalancerMultiDelegationGlobalFlowtime06NbSwaps,DecentralizedBalancerMultiDelegationGlobalFlowtime07NbTimeouts,DecentralizedBalancerMultiDelegationGlobalFlowtime08EndowmentSize,DecentralizedBalancerMultiDelegationGlobalFlowtime09NbDelegatedTasks,DecentralizedBalancerMultiDelegationGlobalFlowtime10NbFirstStages,DecentralizedBalancerMultiDelegationGlobalFlowtime11NbSecondStages,DecentralizedBalancerMultiDelegationGlobalFlowtime12MeanSimulatedFlowtime,Consumer00MeanRealFlowtime,GammaTheoretical,GammaSimulated,GammaReal
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-8,4,40,Uncorrelated,0.3583803944504636,29337.25,32343.0,23461.5,20524.75,3.0606098129E10,0.38199564704641553,38.0,38.0,0.0,150.0,1.2105263157894737,46.0,1.0,0.0,0.0,32888.25,0.3003860280019429,1.0,0.2866297233814508
-8,4,40,Uncorrelated,0.3992540533284754,27597.25,30891.75,22692.5,19613.25,2.9579150566E10,0.4228021898999971,12.0,12.0,0.0,302.0,1.5,18.0,1.0,0.0,0.0,32372.0,0.28930418791727436,1.0,0.2990084023229952
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-8,4,40,Uncorrelated,0.36084451134740214,28814.75,33959.0,24479.25,21510.5,2.9582122263E10,0.3921301667353807,5901.0,5901.0,0.0,882.0,1.6253177427554653,9591.0,1.0,0.0,0.0,33654.25,0.25348996607640184,1.0,0.2726252999249723
-8,4,40,Uncorrelated,0.37886639512844295,27983.25,29126.5,24223.25,21052.75,3.0601440053E10,0.385137314997782,93.0,93.0,0.0,144.0,1.4946236559139785,139.0,1.0,0.0,0.0,31359.25,0.24766601449081146,1.0,0.22755646260672688
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+8,4,40,Uncorrelated,0.3319655667144907,27740.75,29768.5,24511.0,21638.25,3.3704618272E10,0.40598756575801054,33.0,33.0,0.0,180.0,1.1818181818181819,39.0,1.0,0.0,0.0,0.3319655667144907,27105.5,27105.5,24496.0,21533.5,2.6542314422E10,0.3593687230989957,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3319655667144907,258.0,258.0,22308.25,18254.75,3.0723625446E10,0.5436059301769488,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30334.25,-69.75484496124031, 1.0, 0.2645854108804404
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+8,4,40,Uncorrelated,0.4166209855773775,30830.25,35777.5,21418.0,18277.25,2.8559716773E10,0.48069107612044687,59.0,59.0,0.0,1189.0,1.423728813559322,84.0,1.0,0.0,0.0,0.4166209855773775,467.0,467.0,22440.75,19563.0,2.8561808492E10,0.42630852692663934,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4166209855773775,0.0,0.0,26292.25,20728.25,3.2663012309E10,0.5127970058408786,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30340.75,-Infinity, NaN, 0.13343440752123795
+8,4,40,Uncorrelated,0.4265259059032569,32306.25,36528.0,22945.5,19677.75,2.7538381202E10,0.4806532710810351,24.0,24.0,0.0,106.0,1.4166666666666667,34.0,1.0,0.0,0.0,0.4265259059032569,0.0,0.0,30850.25,27283.25,3.4676704778E10,0.4208929550309056,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4265259059032569,0.0,0.0,26225.5,20728.25,3.2601011636E10,0.5127970058408786,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32123.0,-Infinity, NaN, 0.1835911963390717
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+8,4,40,Uncorrelated,0.3623035854835804,28286.75,30247.75,22952.25,19518.5,3.2644350158E10,0.40640854219415284,16.0,16.0,0.0,460.0,1.125,18.0,1.0,0.0,0.0,0.3623035854835804,0.0,0.0,22686.5,19559.5,3.1611906019E10,0.37921159189401915,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3623035854835804,0.0,0.0,23330.25,18890.75,2.766581743E10,0.5453898893345851,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28301.0,-Infinity, NaN, 0.17563867001166036
+8,4,40,Uncorrelated,0.363839814893839,29521.75,31187.5,23452.25,19961.0,2.9563713724E10,0.400292073245901,11.0,11.0,0.0,120.0,1.4545454545454546,16.0,1.0,0.0,0.0,0.363839814893839,11.5,11.5,22690.5,20529.75,3.0595945811E10,0.37408134429556295,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.363839814893839,0.0,0.0,23347.0,18890.75,2.7683115051E10,0.5453898893345851,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,32881.75,-Infinity, NaN, 0.28997088050362285
+8,4,40,Uncorrelated,0.34526281850682294,31579.5,32857.5,23200.0,19955.0,3.059404546E10,0.41214569523863714,9.0,9.0,0.0,52.0,1.8888888888888888,17.0,1.0,0.0,0.0,0.34526281850682294,0.0,0.0,24729.0,21461.0,2.9574559119E10,0.34585075815766264,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.34526281850682294,0.0,0.0,24244.0,18890.75,2.8581743739E10,0.5453898893345851,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,33399.75,-Infinity, NaN, 0.27412630334059385
+8,4,40,Uncorrelated,0.4136060614681422,33424.0,34760.75,22436.0,19714.5,3.2638021457E10,0.4614472798308251,86.0,86.0,0.0,1024.0,1.5116279069767442,130.0,1.0,0.0,0.0,0.4136060614681422,0.0,0.0,23963.0,20753.25,2.9574040498E10,0.37981849734004725,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4136060614681422,0.0,0.0,24174.25,18890.75,2.8509825939E10,0.5453898893345851,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,33657.75,-Infinity, NaN, 0.28176274409311375
+8,4,40,Uncorrelated,0.34551857046282375,27059.0,30685.25,21677.0,18752.75,2.9585030146E10,0.4181154082878447,71.0,71.0,0.0,981.0,1.591549295774648,113.0,1.0,0.0,0.0,0.34551857046282375,26997.0,26997.0,24981.5,21978.5,2.5490004731E10,0.4120614676770021,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.34551857046282375,493.75,493.75,22614.0,18519.0,3.0774829112E10,0.5333319880131976,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31872.0,-36.50683544303797, 1.0, 0.2904743975903614
+8,4,40,Uncorrelated,0.3495940434046483,24809.0,28402.5,22463.75,19641.75,3.2677132503E10,0.37594274280437123,6.0,6.0,0.0,327.0,1.6666666666666667,10.0,1.0,0.0,0.0,0.3495940434046483,24157.75,24157.75,25005.0,21997.0,3.1636372929E10,0.382686239802986,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3495940434046483,0.0,0.0,23173.75,19313.75,2.9548929994E10,0.5342561951670002,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28049.5,-Infinity, NaN, 0.17382662792563147
+8,4,40,Uncorrelated,0.35888679390487915,27774.75,29744.25,23461.0,20373.75,3.2642275872E10,0.41115130060027705,49.0,49.0,0.0,134.0,1.2448979591836735,61.0,1.0,0.0,0.0,0.35888679390487915,324.75,324.75,25244.5,22576.75,3.1618932362E10,0.37193127597352627,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.35888679390487915,0.0,0.0,21615.0,17689.5,2.442013911E10,0.538575496382946,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29834.75,-Infinity, NaN, 0.27550926352659233
+8,4,40,Uncorrelated,0.414056487609666,21648.0,24664.25,21420.75,18667.0,2.8562986357E10,0.4630406341388333,6.0,6.0,0.0,219.0,1.1666666666666667,7.0,1.0,0.0,0.0,0.414056487609666,0.0,0.0,24729.5,21723.75,3.0595041302E10,0.41585539479759887,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.414056487609666,0.0,0.0,22360.0,17689.5,2.516511476E10,0.538575496382946,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,26770.0,-Infinity, NaN, 0.16473664549869257
+8,4,40,Uncorrelated,0.3964810681853163,29870.25,32207.5,22695.0,19532.25,3.1622173346E10,0.4980664152685855,127.0,127.0,0.0,26.0,1.220472440944882,155.0,1.0,0.0,0.0,0.3964810681853163,1222.0,1222.0,24737.25,21450.25,3.0602889012E10,0.4256291365245498,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3964810681853163,0.0,0.0,22381.0,17689.5,2.5183936176E10,0.538575496382946,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31617.5,-Infinity, NaN, 0.29213252154661185
+8,4,40,Uncorrelated,0.35627020163152223,29462.5,30297.25,23201.25,19979.25,3.059765765E10,0.44458019085731876,40.0,40.0,0.0,411.0,1.4,56.0,1.0,0.0,0.0,0.35627020163152223,0.0,0.0,24986.75,22030.5,2.8556774005E10,0.3832538094505156,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.35627020163152223,0.0,0.0,23988.0,19313.75,3.0363766826E10,0.5342561951670002,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29805.0,-Infinity, NaN, 0.19516859587317564
+8,4,40,Uncorrelated,0.3620057606703325,23102.0,25431.25,21674.25,19481.0,2.5500340796E10,0.3882611235321369,12.0,12.0,0.0,2.0,1.1666666666666667,14.0,1.0,0.0,0.0,0.3620057606703325,23037.0,23037.0,23199.25,19980.25,2.5497310816E10,0.4174068926621951,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3620057606703325,445.0,445.0,20561.25,16365.25,2.8467553168E10,0.5670131125747779,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,27279.0,-35.77584269662921, 1.0, 0.2462608600021995
+8,4,40,Uncorrelated,0.378280661469978,26384.75,30305.25,23963.5,20531.75,3.2635970725E10,0.43753902552017243,224.0,224.0,0.0,22.0,1.1741071428571428,263.0,1.0,0.0,0.0,0.378280661469978,0.0,0.0,22434.0,19408.75,2.7534721517E10,0.43397385541926,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.378280661469978,0.0,0.0,20559.25,16365.25,2.8464883357E10,0.5670131125747779,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,25998.75,-Infinity, NaN, 0.2092215971921727
+8,4,40,Uncorrelated,0.3446733941627893,30314.75,31535.75,22440.0,19599.25,3.3662102715E10,0.38206739581445004,122.0,122.0,0.0,28.0,1.2295081967213115,150.0,1.0,0.0,0.0,0.3446733941627893,0.0,0.0,25491.75,23042.0,3.0591991423E10,0.37314439946018896,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3446733941627893,0.0,0.0,20715.75,16365.25,2.8620582386E10,0.5670131125747779,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,28300.25,-Infinity, NaN, 0.26800116606743757
+8,4,40,Uncorrelated,0.35983040264265714,27097.75,28267.75,24219.75,21091.0,3.2635015353E10,0.39271255060728744,6.0,6.0,0.0,382.0,1.5,9.0,1.0,0.0,0.0,0.35983040264265714,0.0,0.0,21670.0,18941.75,2.7535504264E10,0.3915543738795899,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.35983040264265714,0.0,0.0,21348.5,16365.25,2.925373983E10,0.5670131125747779,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,29833.0,-Infinity, NaN, 0.2843998256963765
+8,4,40,Uncorrelated,0.3868612403569199,33242.0,34573.75,21421.0,18483.5,2.6522349517E10,0.45619070638709286,36.0,36.0,0.0,1029.0,1.8333333333333333,66.0,1.0,0.0,0.0,0.3868612403569199,2677.0,2677.0,22946.5,20717.75,3.4676826594E10,0.3478860756944025,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3868612403569199,0.0,0.0,20541.25,16365.25,2.8445838864E10,0.5670131125747779,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,31365.0,-Infinity, NaN, 0.3450900685477443
+8,4,40,Uncorrelated,0.34426358109433225,29842.75,29867.0,24473.0,21285.75,2.6514426346E10,0.3580604040007845,6.0,6.0,0.0,70.0,1.3333333333333333,8.0,1.0,0.0,0.0,0.34426358109433225,29792.75,29792.75,22944.25,19711.25,2.7535004045E10,0.37316140419690136,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.34426358109433225,3273.75,3273.75,22731.75,18855.75,2.7574927374E10,0.5808786036477741,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30076.0,-4.759679266895762, 1.0, 0.2441897193775768
+8,4,40,Uncorrelated,0.3617277897626986,29320.5,29860.25,21663.75,19124.5,3.1605682617E10,0.40100019611688564,44.0,44.0,0.0,322.0,1.2727272727272727,56.0,1.0,0.0,0.0,0.3617277897626986,0.0,0.0,24729.5,22019.25,2.8554460006E10,0.3755442243577172,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.3617277897626986,0.0,0.0,22647.5,18855.75,2.7493386404E10,0.5808786036477741,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,30597.75,-Infinity, NaN, 0.2598311967383223
diff --git a/src/main/scala/org/smastaplus/experiment/consumer/ConsumptionCampaign.scala b/src/main/scala/org/smastaplus/experiment/consumer/ConsumptionCampaign.scala
index 83ad412c..a1c82116 100644
--- a/src/main/scala/org/smastaplus/experiment/consumer/ConsumptionCampaign.scala
+++ b/src/main/scala/org/smastaplus/experiment/consumer/ConsumptionCampaign.scala
@@ -26,7 +26,7 @@ class ConsumptionCampaign(simulatedCost: SimulatedCost, fromStable: Boolean = fa
 
   val configurations : List[ConsumptionConfiguration] = { // The configurations
     val numbersOfJobs = List.range(4, 5, 1) // l in [4,5[
-    val numbersOfTasks = List.range(40, 320, 40)
+    val numbersOfTasks = List.range(80, 320, 40)
     if (byNodes)
       List.tabulate(9)(nbNodes => new ConsumptionConfiguration(8+ nbNodes, 4, 120, Uncorrelated))
     else {
-- 
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