Exemplo n.º 1
0
        public void CalculateHypothesisTestResults()
        {
            // Only perform these calculations if files have been processed and a pair of files (marked and unmarked) are available

            bool IsDirty = false;
            bool HasValues = false;
            HypothesisTest ht = new HypothesisTest();
            ProcessCapturePackets pcp = new ProcessCapturePackets();
            int markedFileCount = pcp.GetProcessedFilesCountMarked();
            int unmarkedFileCount = pcp.GetProcessedFilesCountUnmarked();

            ht = pcp.GetHypothesisTestResults();
            if (ht != null)
            {
                HasValues = ht.HasValues;
            }

            //if (markedFileCount >= 1 && unmarkedFileCount >= 1 && (markedFileCount + unmarkedFileCount) % 2 == 0)
            if (markedFileCount >= 1 && unmarkedFileCount >= 1)
            {
                // Get mean of means test results
                HypothesisTest htMeans = new HypothesisTest();
                //htMeans = GetMeansHypothesisTestResult();
                MeansHypothesisTest mht = new MeansHypothesisTest(_TrimZeroPacketIntervals);
                htMeans = mht.GetHypothesisTestResult();
                ht.MeansTestResult = htMeans.MeansTestResult;
                ht.MeanOfMeansVariance = htMeans.MeanOfMeansVariance;
                ht.MeansVarianceStandardDeviation = htMeans.MeansVarianceStandardDeviation;

                if(AnalysisConfiguration.HypothesisTestType == HypothesisTestType.MeansTest && htMeans.MeansTestResult)
                {
                    AnalysisConfiguration.FoundCoresidentVm = true;
                }
                else
                {
                    AnalysisConfiguration.FoundCoresidentVm = false;
                }

                if (AnalysisConfiguration.HypothesisTestType == HypothesisTestType.KsTestStep)
                {
                    // Get the K-S test results (using step function between probability data points)
                    HypothesisTest htKsStep = new HypothesisTest();
                    //htKsStep = GetKsStepHypothesisTestResult();
                    KsStepHypothesisTest ksht = new KsStepHypothesisTest();
                    htKsStep = ksht.GetHypothesisTestResult();
                    ht.KsStatistic = htKsStep.KsStatistic;
                    ht.MaxCpdVariance = htKsStep.MaxCpdVariance;
                    ht.KsTestResult = htKsStep.KsTestResult;
                    ht.HasValues = true;
                    IsDirty = true;

                    if(htKsStep.KsTestResult)
                    {
                        AnalysisConfiguration.FoundCoresidentVm = true;
                    }
                    else
                    {
                        AnalysisConfiguration.FoundCoresidentVm = false;
                    }
                }
                //else
                else if(AnalysisConfiguration.HypothesisTestType == HypothesisTestType.KsTestLinear)
                {
                    // Default: Get the K-S test results (using linear extrapolation between probability data points)
                    HypothesisTest htKsLinear = new HypothesisTest();
                    //htKsLinear = GetKsLinearHypothesisTestResult();
                    KsLinearHypothesisTest klht = new KsLinearHypothesisTest();
                    htKsLinear = klht.GetHypothesisTestResult();
                    ht.KsStatistic = htKsLinear.KsStatistic;
                    ht.MaxCpdVariance = htKsLinear.MaxCpdVariance;
                    ht.KsTestResult = htKsLinear.KsTestResult;
                    ht.HasValues = true;
                    IsDirty = true;

                    if (htKsLinear.KsTestResult)
                    {
                        AnalysisConfiguration.FoundCoresidentVm = true;
                    }
                    else
                    {
                        AnalysisConfiguration.FoundCoresidentVm = false;
                    }
                }
            }
            else if(!HasValues)
            {
                // Default values - only if we haven't previously calculated hypothesis test results
                ht.MeanOfMeansVariance = 0;
                ht.MeansVarianceStandardDeviation = 0;
                ht.MeansTestResult = false;
                ht.KsTestResult = false;
                ht.HasValues = false;
                IsDirty = true;
            }

            if (IsDirty)
            {
                // Save the test results
                pcp.DeleteHypothesisTestResults();
                pcp.InsertHypothesisTestResults(ht);
            }
        }