multi value considering approach

costfed/costfed.old.props

@@ -0,0 +1,28 @@
+cacheLocation=cache.db
+workerThreads=20
+boundJoinBlockSize=20
+enforceMaxQueryTime=30
+enableMonitoring=false
+monitoring.enableJMX=false
+monitoring.logQueryPlan=false
+monitoring.logQueries=false
+sourceSelectionClass=org.aksw.simba.quetsal.core.TBSSSourceSelection
+#sourceSelectionClass=org.aksw.simba.quetsal.core.TBSSSourceSelectionOriginal
+extensionClass=org.aksw.simba.quetsal.configuration.QuetzalConfig
+#quetzal.mode=INDEX_DOMINANT
+quetzal.mode=ASK_DOMINANT
+quetzal.inputCommonPredThreshold=0.33
+quetzal.fedSummaries=summaries/sum-localhost.old.n3
+statementGroupOptimizerClass=org.aksw.simba.quetsal.core.JoinOrderOptimizer
+#prefixDeclarations
+#sailEvaluationStrategy=com.fluidops.fedx.evaluation.SailFederationEvalStrategy
+#sparqlEvaluationStrategy=com.fluidops.fedx.evaluation.SparqlFederationEvalStrategy
+sparqlEvaluationStrategy=org.aksw.simba.quetsal.core.TBSSFederationEvalStrategy
+optimizer.enableServiceAsBoundJoin=false
+validateRepositoryConnections=true
+debugWorkerScheduler=false
+debugQueryPlan=false
+
+# http client related config
+maxHttpConnectionCount=50
+maxHttpConnectionCountPerRoute=50

costfed/report.py

@@ -5,11 +5,11 @@
 import csv
 import math
 
-samplePrefixName="quetsal-"
+samplePrefixName="costfed-"
 sampleCount = 16
 
 for i in range(0, sampleCount, 1):
-	os.system("mvn exec:java -Dexec.mainClass=\"org.aksw.simba.start.QueryEvaluation\" -Dexec.args=\"quetsal.props results/" + samplePrefixName + "sample" + str(i) + ".csv\"")
+	os.system("mvn exec:java -Dexec.mainClass=\"org.aksw.simba.start.QueryEvaluation\" -Dexec.args=\"costfed.props results/" + samplePrefixName + "sample" + str(i) + ".csv\"")
 
 reportrows = []
 with open("results/" + samplePrefixName + "sample0.csv") as f:

costfed/results/cfed-report.csv

@@ -0,0 +1,23 @@
+Query,#Results,Sample #0,Sample #1,Sample #2,Sample #3,Sample #4,Sample #5,Sample #6,Sample #7,Sample #8,Sample #9,Sample #10,Sample #11,Sample #12,Sample #13,Sample #14,Sample #15
+S1,90,142,19,17,20,21,21,20,16,15,16,20,21,19,20,20,15
+S2,1,9,5,4,5,5,4,6,5,4,4,4,5,3,5,4,4
+S3,2,25,16,17,17,17,15,18,17,17,16,15,88,18,15,17,16
+S4,1,10,9,7,6,6,7,6,5,7,6,6,6,7,7,6,6
+S5,2,220,173,231,168,170,228,166,171,230,299,168,229,171,168,232,168
+S6,11,278,212,177,172,232,169,162,160,164,163,229,163,160,234,162,227
+S7,1,253,218,218,285,216,281,212,215,216,218,219,218,216,214,208,214
+S8,1159,18,16,14,15,14,15,16,16,16,16,15,16,17,15,15,17
+S9,333,27,26,20,21,22,22,22,18,18,23,21,18,18,22,22,21
+S10,9054,2574,2577,2532,2532,2568,2578,2511,2498,2621,2515,2565,2464,2615,2499,2567,2493
+S11,3,8,8,7,7,7,7,7,7,7,6,6,7,7,7,7,6
+S12,393,515,495,565,497,570,501,502,494,499,492,496,564,492,497,494,565
+S13,28,35,34,35,31,33,34,33,104,97,34,34,32,32,31,32,33
+S14,1620,2220,1804,1933,1748,1746,1731,1747,1702,1682,1681,1697,1730,1701,1662,1765,1736
+C1,1000,1967,1393,2429,1416,2493,1436,1374,1752,1414,1389,2478,1382,1491,1718,1364,2187
+C2,4,909,858,985,858,858,862,859,859,858,850,940,854,857,851,855,845
+C3,9,238,382,220,223,216,211,216,220,211,388,213,214,215,215,216,215
+C6,148,1633,769,1628,1346,1880,1545,1370,932,928,1353,947,941,1358,938,939,1349
+C7,112,121,94,98,94,92,95,89,93,93,90,92,90,90,93,94,92
+C8,3073,971,866,905,817,835,948,857,847,877,852,862,844,844,821,821,833
+C9,100,16304,15930,16822,16127,16586,16341,16042,15744,16194,15982,16023,16054,15659,16023,15854,16185
+C10,0,2,0,0,0,1,0,1,1,0,0,0,0,1,0,0,0

costfed/results/cfed-sstreport.csv

@@ -0,0 +1,23 @@
+Query,#Results,Sample #0,Sample #1,Sample #2,Sample #3,Sample #4,Sample #5,Sample #6,Sample #7,Sample #8,Sample #9,Sample #10,Sample #11,Sample #12,Sample #13,Sample #14,Sample #15,Sample #16
+S1,90,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
+S2,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
+S3,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
+S4,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
+S5,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
+S6,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+S7,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
+S8,1159,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
+S9,333,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
+S10,9054,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
+S11,3,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
+S12,393,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3
+S13,28,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
+S14,1620,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3
+C1,1000,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3
+C2,4,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5
+C3,9,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
+C6,148,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
+C7,112,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
+C8,3073,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
+C9,100,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3
+C10,0,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6

costfed/results/cfed-summary.csv

@@ -0,0 +1,23 @@
+Query,Average,SD,SE
+S1,26,30,7
+S2,5,1,0
+S3,22,17,4
+S4,7,1,0
+S5,200,38,10
+S6,192,36,9
+S7,226,23,6
+S8,16,1,0
+S9,21,3,1
+S10,2544,44,11
+S11,7,1,0
+S12,515,30,7
+S13,42,22,6
+S14,1768,132,33
+C1,1730,422,106
+C2,872,37,9
+C3,238,56,14
+C6,1241,321,80
+C7,94,7,2
+C8,862,43,11
+C9,16117,286,72
+C10,0,1,0

costfed/results/fedx-summary.py → costfed/results/costfed-summary.py

@@ -6,7 +6,7 @@
 import math
 
 reportrows = []
-with open("fedx.csv") as f:
+with open("cfed-report.csv") as f:
 	reader = csv.reader(f)
 	reportrows = list(reader)
 
@@ -30,6 +30,6 @@
 	newrow = [row[0], round(avr), round(sn), round(se)]
 	summary.append(newrow)
 
-with open("fedx-summary.csv", 'w', newline='') as csvfile:
+with open("cfed-summary.csv", 'w', newline='') as csvfile:
 	reportwriter = csv.writer(csvfile, delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL)
 	reportwriter.writerows(summary)