private static List<Evaluation> createFormationEvaluations(
List<FormationAlternative> formAlternatives) {
List<Evaluation> formationEvaluations = new ArrayList<Evaluation>();
try {
Evaluation formationValueEvaluation = new Evaluation();
formationValueEvaluation
.getEvaluations()
.add(createFormationValueMatrixParallel(formAlternatives));
Evaluation formationTrafficEvaluation = new Evaluation();
formationTrafficEvaluation
.getEvaluations()
.add(createFormationTrafficMatrixParallel(formAlternatives));
formationEvaluations.add(formationValueEvaluation);
formationEvaluations.add(formationTrafficEvaluation);
} catch (Exception e) {
e.printStackTrace();
}
return formationEvaluations;
}
private static SortedSet<ComponentSolution> computeComponent(
Component c, int numAMIs, int numServices) throws Exception {
long startTimeAMIModel = new Date().getTime();
List<AMI> amis = new ArrayList<AMI>();
for (int i = 0; i < numAMIs; i++) {
AMI ami = new AMI("ami-" + i);
ami.getAttributes()
.add(
new Attribute<Double>(
EApplianceAttribute.COSTPERHOUR, new Double((Math.random() * 0.4 + 0.1))));
ami.getAttributes()
.add(new Attribute<Double>(EApplianceAttribute.POPULARITY, new Double(Math.random())));
amis.add(ami);
}
// System.out.println("Generated AMIs: " + amis);
ApplianceDecision ad = new ApplianceDecision();
ad.setName("AMI Decision");
Goal bestAppliance = new Goal("Best Appliance");
bestAppliance.setGoalType(GoalType.POSITIVE);
Criterion appliancePopularity = new Criterion("Appliance Popularity");
appliancePopularity.setType(CriterionType.QUANTITATIVE);
bestAppliance.addChild(appliancePopularity);
Goal cheapestAppliance = new Goal("Cheapest Appliance");
cheapestAppliance.setGoalType(GoalType.NEGATIVE);
Criterion applianceCosts = new Criterion("Appliance Costs");
applianceCosts.setType(CriterionType.QUANTITATIVE);
cheapestAppliance.addChild(applianceCosts);
ad.addGoal(bestAppliance);
ad.addGoal(cheapestAppliance);
List<ApplianceAlternative> applianceAlternatives = new ArrayList<ApplianceAlternative>();
for (AMI a : amis) {
ApplianceAlternative aa = new ApplianceAlternative(a, "alternative-" + a.getName());
applianceAlternatives.add(aa);
ad.addAlternative(aa);
}
// System.out.println("AMI Decision: " + ad);
List<Evaluation> amiEvaluations = new ArrayList<Evaluation>();
Evaluation evBest = new Evaluation();
evBest
.getEvaluations()
.add(createAMIMatrix(applianceAlternatives, EApplianceAttribute.POPULARITY));
Evaluation evCheapest = new Evaluation();
evCheapest
.getEvaluations()
.add(createAMIMatrix(applianceAlternatives, EApplianceAttribute.COSTPERHOUR));
amiEvaluations.add(evBest);
amiEvaluations.add(evCheapest);
long endTimeAMIModel = new Date().getTime();
System.out.println("AMI Model Creation took " + (endTimeAMIModel - startTimeAMIModel) + " ms");
long startTimeAMIEval = new Date().getTime();
AnalyticHierarchyProcess ahpAMI = new AnalyticHierarchyProcess(ad);
EvaluationResult amiEvalResult = ahpAMI.evaluateFull(amiEvaluations);
long endTimeAMIEval = new Date().getTime();
System.out.println("AMI Evaluation took " + (endTimeAMIEval - startTimeAMIEval) + " ms");
long startTimeServiceModel = new Date().getTime();
List<EC2Resource> services = new ArrayList<EC2Resource>();
for (int i = 0; i < numServices; i++) {
EC2Resource ec2 = new EC2Resource("ec2-" + i);
ec2.getAttributes()
.add(
new Attribute<Double>(
EComputeServiceAttribute.COSTPERHOUR, new Double((Math.random() * 0.39 + 0.01))));
ec2.getAttributes()
.add(
new Attribute<Double>(
EComputeServiceAttribute.CPUBENCHMARK, new Double(Math.random() * 1000)));
ec2.getAttributes()
.add(
new Attribute<Double>(
EComputeServiceAttribute.RAMBENCHMARK, new Double(Math.random() * 1000)));
ec2.getAttributes()
.add(
new Attribute<Double>(
EComputeServiceAttribute.DISKBENCHMARK, new Double(Math.random() * 1000)));
ec2.getAttributes()
.add(
new Attribute<Double>(
EComputeServiceAttribute.MAXLATENCY, new Double(Math.random() * 450 + 50)));
ec2.getAttributes()
.add(
new Attribute<Double>(
EComputeServiceAttribute.AVGLATENCY, new Double(Math.random() * 490 + 10)));
ec2.getAttributes()
.add(
new Attribute<Double>(
EComputeServiceAttribute.SERVICEPOPULARITY, new Double(Math.random())));
ec2.getAttributes()
.add(
new Attribute<Double>(
EComputeServiceAttribute.UPTIME, new Double(Math.random() * 0.1 + 0.9)));
ec2.setProvider(providers.get(new Random().nextInt(NUM_PROVIDERS)));
services.add(ec2);
}
ComputeDecision sd = new ComputeDecision();
sd.setName("Service Decision");
Goal bestService = new Goal("Best Service");
bestService.setGoalType(GoalType.POSITIVE);
Criterion servicePopularity = new Criterion("Service Popularity");
servicePopularity.setType(CriterionType.QUANTITATIVE);
Criterion serviceCPU = new Criterion("Service CPU");
serviceCPU.setType(CriterionType.BENCHMARK);
Criterion serviceRAM = new Criterion("Service RAM");
serviceRAM.setType(CriterionType.BENCHMARK);
Criterion serviceDisk = new Criterion("Service Disk");
serviceDisk.setType(CriterionType.BENCHMARK);
Criterion serviceUptime = new Criterion("Service Uptime");
serviceUptime.setType(CriterionType.QUANTITATIVE);
bestService.addChild(servicePopularity);
bestService.addChild(serviceCPU);
bestService.addChild(serviceRAM);
bestService.addChild(serviceDisk);
bestService.addChild(serviceUptime);
Goal cheapestService = new Goal("Cheapest Service");
cheapestService.setGoalType(GoalType.NEGATIVE);
Criterion serviceCosts = new Criterion("Service Costs");
serviceCosts.setType(CriterionType.QUANTITATIVE);
cheapestService.addChild(serviceCosts);
Goal latencyService = new Goal("Low Latency Service");
latencyService.setGoalType(GoalType.NEGATIVE);
Criterion serviceMaxLatency = new Criterion("Service Max Latency");
serviceMaxLatency.setType(CriterionType.BENCHMARK);
Criterion serviceAvgLatency = new Criterion("Service Avg Latency");
serviceAvgLatency.setType(CriterionType.BENCHMARK);
latencyService.addChild(serviceMaxLatency);
latencyService.addChild(serviceAvgLatency);
sd.addGoal(bestService);
sd.addGoal(cheapestService);
sd.addGoal(latencyService);
List<ComputeServiceAlternative> ec2Alternatives = new ArrayList<ComputeServiceAlternative>();
for (EC2Resource e : services) {
ComputeServiceAlternative ea = new ComputeServiceAlternative(e, "alternative-" + e.getName());
ec2Alternatives.add(ea);
sd.addAlternative(ea);
}
List<Evaluation> serviceEvaluations = new ArrayList<Evaluation>();
Evaluation evServicePopularity = new Evaluation();
evServicePopularity
.getEvaluations()
.add(createServiceMatrix(ec2Alternatives, EComputeServiceAttribute.SERVICEPOPULARITY));
evServicePopularity
.getEvaluations()
.add(createServiceMatrix(ec2Alternatives, EComputeServiceAttribute.CPUBENCHMARK));
evServicePopularity
.getEvaluations()
.add(createServiceMatrix(ec2Alternatives, EComputeServiceAttribute.RAMBENCHMARK));
evServicePopularity
.getEvaluations()
.add(createServiceMatrix(ec2Alternatives, EComputeServiceAttribute.DISKBENCHMARK));
Evaluation evServiceCheapest = new Evaluation();
evServiceCheapest
.getEvaluations()
.add(createServiceMatrix(ec2Alternatives, EComputeServiceAttribute.COSTPERHOUR));
Evaluation evServiceLatency = new Evaluation();
evServiceLatency
.getEvaluations()
.add(createServiceMatrix(ec2Alternatives, EComputeServiceAttribute.MAXLATENCY));
evServiceLatency
.getEvaluations()
.add(createServiceMatrix(ec2Alternatives, EComputeServiceAttribute.AVGLATENCY));
serviceEvaluations.add(evServicePopularity);
serviceEvaluations.add(evServiceCheapest);
serviceEvaluations.add(evServiceLatency);
long endTimeServiceModel = new Date().getTime();
System.out.println(
"Service Model Creation took " + (endTimeServiceModel - startTimeServiceModel) + " ms");
long startTimeServiceEval = new Date().getTime();
AnalyticHierarchyProcess ahpService = new AnalyticHierarchyProcess(sd);
EvaluationResult serviceEvalResult = ahpService.evaluateFull(serviceEvaluations);
long endTimeServiceEval = new Date().getTime();
System.out.println(
"Service Evaluation took " + (endTimeServiceEval - startTimeServiceEval) + " ms");
long startTimeCombined = new Date().getTime();
List<CombinationValue> combinations = new ArrayList<CombinationValue>();
for (ApplianceAlternative aa : applianceAlternatives)
for (ComputeServiceAlternative csa : ec2Alternatives)
combinations.add(
new CombinationValue(
aa.getAppl(),
csa.getComputeService(),
amiEvalResult.getResultMultiplicativeIndexMap().get(aa),
serviceEvalResult.getResultMultiplicativeIndexMap().get(csa)));
long endTimeCombined = new Date().getTime();
System.out.println(
"Combination Model took "
+ (endTimeCombined - startTimeCombined)
+ " ms (for "
+ combinations.size()
+ " combinations)");
long startTimeCombinedEval = new Date().getTime();
SortedSet<ComponentSolution> combinationResults = new TreeSet<ComponentSolution>();
for (CombinationValue cv : combinations) {
Double value = cv.getApplianceValue() + cv.getServiceValue();
combinationResults.add(new ComponentSolution(c, new CombinationTotalValue(cv, value)));
}
long endTimeCombinedEval = new Date().getTime();
System.out.println(
"Combination Eval took " + (endTimeCombinedEval - startTimeCombinedEval) + " ms");
System.out.println("Worst Combination: " + combinationResults.first());
System.out.println("Best Combination: " + combinationResults.last());
TIME_INTERMEDIATE_TOTAL =
((endTimeAMIModel - startTimeAMIModel)
+ (endTimeAMIEval - startTimeAMIEval)
+ (endTimeServiceModel - startTimeServiceModel)
+ (endTimeServiceEval - startTimeServiceEval)
+ (endTimeCombined - startTimeCombined)
+ (endTimeCombinedEval - startTimeCombinedEval));
TIME_COMPONENTS_TOTAL += TIME_INTERMEDIATE_TOTAL;
FileWriter fw = new FileWriter("out_components.txt", true);
BufferedWriter out = new BufferedWriter(fw);
out.write(
""
+ c.getName()
+ ","
+ NUM_COMPONENTS
+ ","
+ numAMIs
+ ","
+ numServices
+ ","
+ (endTimeAMIModel - startTimeAMIModel)
+ ","
+ (endTimeAMIEval - startTimeAMIEval)
+ ","
+ (endTimeServiceModel - startTimeServiceModel)
+ ","
+ (endTimeServiceEval - startTimeServiceEval)
+ ","
+ (endTimeCombined - startTimeCombined)
+ ","
+ (endTimeCombinedEval - startTimeCombinedEval)
+ ","
+ TIME_INTERMEDIATE_TOTAL
+ "\n");
out.close();
return combinationResults;
}