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Posted to commits@stratos.apache.org by la...@apache.org on 2013/12/27 21:02:19 UTC
git commit: adding dengs logs at predicting value logic
Updated Branches:
refs/heads/master 3fca23c8f -> ddf63cb34
adding dengs logs at predicting value logic
Project: http://git-wip-us.apache.org/repos/asf/incubator-stratos/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-stratos/commit/ddf63cb3
Tree: http://git-wip-us.apache.org/repos/asf/incubator-stratos/tree/ddf63cb3
Diff: http://git-wip-us.apache.org/repos/asf/incubator-stratos/diff/ddf63cb3
Branch: refs/heads/master
Commit: ddf63cb34c4fa7fbd3ee0c81020ab381dd654398
Parents: 3fca23c
Author: Lahiru Sandaruwan <la...@apache.org>
Authored: Sat Dec 28 01:36:55 2013 +0530
Committer: Lahiru Sandaruwan <la...@apache.org>
Committed: Sat Dec 28 01:36:55 2013 +0530
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.../apache/stratos/autoscaler/rule/RuleTasksDelegator.java | 8 ++++++++
1 file changed, 8 insertions(+)
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http://git-wip-us.apache.org/repos/asf/incubator-stratos/blob/ddf63cb3/components/org.apache.stratos.autoscaler/src/main/java/org/apache/stratos/autoscaler/rule/RuleTasksDelegator.java
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diff --git a/components/org.apache.stratos.autoscaler/src/main/java/org/apache/stratos/autoscaler/rule/RuleTasksDelegator.java b/components/org.apache.stratos.autoscaler/src/main/java/org/apache/stratos/autoscaler/rule/RuleTasksDelegator.java
index 9a1b04e..68da7b1 100644
--- a/components/org.apache.stratos.autoscaler/src/main/java/org/apache/stratos/autoscaler/rule/RuleTasksDelegator.java
+++ b/components/org.apache.stratos.autoscaler/src/main/java/org/apache/stratos/autoscaler/rule/RuleTasksDelegator.java
@@ -26,7 +26,15 @@ public class RuleTasksDelegator {
public double getPredictedValueForNextMinute(float average, float gradient, float secondDerivative, int timeInterval){
double predictedValue;
// s = u * t + 0.5 * a * t * t
+ if(log.isDebugEnabled()){
+ log.debug(String.format("Predicting the value, [average]: %s , [gradient]: %s , [second derivative]" +
+ ": %s , [time intervals]: %s ", average, gradient, secondDerivative, timeInterval));
+ }
predictedValue = average + gradient * timeInterval + 0.5 * secondDerivative * timeInterval * timeInterval;
+
+ if(log.isDebugEnabled()){
+ log.debug(String.format("Predicted value: %s ", predictedValue));
+ }
return predictedValue;
}