some benchmarks for scheduling

[IRC.git] / Robust / src / Benchmarks / PERT / Mcore / Estimator.java

diff --git a/Robust/src/Benchmarks/PERT/Mcore/Estimator.java b/Robust/src/Benchmarks/PERT/Mcore/Estimator.java
index a2232dc914a230bd31fab24ff2043bfb5293b53a..2539ae6fdad0deaac67ec2d29e9e6f1876d89320 100644 (file)
--- a/Robust/src/Benchmarks/PERT/Mcore/Estimator.java
+++ b/Robust/src/Benchmarks/PERT/Mcore/Estimator.java
@@ -4,70 +4,70 @@ public class Estimator {
 
     int stages;
     int time;
-    double variance;
-    double[] probtable;
+    float variance;
+    float[] probtable;
 
     public Estimator(int stages) {
        this.stages = stages;
        this.time = 0;
        this.variance = 0;
 
-       this.probtable = new double[31];
+       this.probtable = new float[31];
        int i = 0;
-       this.probtable[i++] = 0.5000;
-       this.probtable[i++] = 0.5398;
-       this.probtable[i++] = 0.5793;
-       this.probtable[i++] = 0.6179;
-       this.probtable[i++] = 0.6554;
-       this.probtable[i++] = 0.6915;
-       this.probtable[i++] = 0.7257;
-       this.probtable[i++] = 0.7580;
-       this.probtable[i++] = 0.7881;
-       this.probtable[i++] = 0.8159;
-       this.probtable[i++] = 0.8413;
-       this.probtable[i++] = 0.8643;
-       this.probtable[i++] = 0.8849;
-       this.probtable[i++] = 0.9032;
-       this.probtable[i++] = 0.9192;
-       this.probtable[i++] = 0.9332;
-       this.probtable[i++] = 0.9452;
-       this.probtable[i++] = 0.9554;
-       this.probtable[i++] = 0.9641;
-       this.probtable[i++] = 0.9713;
-       this.probtable[i++] = 0.9772;
-       this.probtable[i++] = 0.9821;
-       this.probtable[i++] = 0.9861;
-       this.probtable[i++] = 0.9893;
-       this.probtable[i++] = 0.9918;
-       this.probtable[i++] = 0.9938;
-       this.probtable[i++] = 0.9953;
-       this.probtable[i++] = 0.9965;
-       this.probtable[i++] = 0.9974;
-       this.probtable[i++] = 0.9981;
-       this.probtable[i++] = 0.9987;
+       this.probtable[i++] = (float)0.5000;
+       this.probtable[i++] = (float)0.5398;
+       this.probtable[i++] = (float)0.5793;
+       this.probtable[i++] = (float)0.6179;
+       this.probtable[i++] = (float)0.6554;
+       this.probtable[i++] = (float)0.6915;
+       this.probtable[i++] = (float)0.7257;
+       this.probtable[i++] = (float)0.7580;
+       this.probtable[i++] = (float)0.7881;
+       this.probtable[i++] = (float)0.8159;
+       this.probtable[i++] = (float)0.8413;
+       this.probtable[i++] = (float)0.8643;
+       this.probtable[i++] = (float)0.8849;
+       this.probtable[i++] = (float)0.9032;
+       this.probtable[i++] = (float)0.9192;
+       this.probtable[i++] = (float)0.9332;
+       this.probtable[i++] = (float)0.9452;
+       this.probtable[i++] = (float)0.9554;
+       this.probtable[i++] = (float)0.9641;
+       this.probtable[i++] = (float)0.9713;
+       this.probtable[i++] = (float)0.9772;
+       this.probtable[i++] = (float)0.9821;
+       this.probtable[i++] = (float)0.9861;
+       this.probtable[i++] = (float)0.9893;
+       this.probtable[i++] = (float)0.9918;
+       this.probtable[i++] = (float)0.9938;
+       this.probtable[i++] = (float)0.9953;
+       this.probtable[i++] = (float)0.9965;
+       this.probtable[i++] = (float)0.9974;
+       this.probtable[i++] = (float)0.9981;
+       this.probtable[i++] = (float)0.9987;
     }
 
-    public boolean estimate(int time, double variance2) {
-       System.printI(0xff30);
+    public boolean estimate(int time, float variance2) {
+       //System.printI(0xff30);
        this.time += time;
        this.variance += variance2;
        --this.stages;
-       System.printI(0xff31);
-       System.printI(this.stages);
-       System.printI(this.time);
-       System.printI((int)this.variance);
+       //System.printI(0xff31);
+       //System.printI(this.stages);
+       //System.printI(this.time);
+       //System.printI((int)this.variance);
        if(this.stages == 0) {
-               System.printI(0xff32);
+           //System.printI(0xff32);
            //System.printString("variance2: " + (int)(this.variance*100) + "(/100); ");
-           this.variance = Math.sqrt(this.variance);
+           this.variance = Math.sqrtf(this.variance);
            //System.printString("variance: " + (int)(this.variance*100) + "(/100)\n");
            return true;
        }
-       System.printI(0xff33);
+       //System.printI(0xff33);
        return false;
     }
 
-    public double getProbability(int x, int y) {
+    public float getProbability(int x, int y) {
        int l = x;
        int r = y;
        if(x > y) {
@@ -75,22 +75,22 @@ public class Estimator {
            r = x;
        }
 
-       double prob = prob(r) - prob(l);
+       float prob = prob(r) - prob(l);
        return prob;
     }
 
-    private double prob(int s) {
+    private float prob(int s) {
        int tmp = (int)((s - this.time) * 10 / this.variance);
        //System.printString(tmp + "\n");
        int abs = (int)Math.abs(tmp);
-       double prob = 0;
+       float prob = 0;
        if(abs > this.probtable.length - 1) {
            prob = 1;
        } else {
            prob = this.probtable[abs];
        }
        if(tmp < 0) {
-           return 1.0 - prob;
+           return (float)1.0 - prob;
        } else {
            return prob;
        }
@@ -100,7 +100,7 @@ public class Estimator {
        return this.time;
     }
 
-    public double getVariance() {
+    public float getVariance() {
        return this.variance;
     }