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diff src/share/vm/gc_implementation/shared/gcUtil.hpp @ 1145:e018e6884bd8

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6631166: CMS: better heuristics when combatting fragmentation Summary: Autonomic per-worker free block cache sizing, tunable coalition policies, fixes to per-size block statistics, retuned gain and bandwidth of some feedback loop filters to allow quicker reactivity to abrupt changes in ambient demand, and other heuristics to reduce fragmentation of the CMS old gen. Also tightened some assertions, including those related to locking. Reviewed-by: jmasa
author ysr
date Wed, 23 Dec 2009 09:23:54 -0800
parents 9ee9cf798b59
children c18cbe5936b8
line wrap: on
line diff
--- a/src/share/vm/gc_implementation/shared/gcUtil.hpp	Wed Dec 16 15:12:51 2009 -0800
+++ b/src/share/vm/gc_implementation/shared/gcUtil.hpp	Wed Dec 23 09:23:54 2009 -0800
@@ -54,8 +54,8 @@
 
  public:
   // Input weight must be between 0 and 100
-  AdaptiveWeightedAverage(unsigned weight) :
-    _average(0.0), _sample_count(0), _weight(weight), _last_sample(0.0) {
+  AdaptiveWeightedAverage(unsigned weight, float avg = 0.0) :
+    _average(avg), _sample_count(0), _weight(weight), _last_sample(0.0) {
   }
 
   void clear() {
@@ -64,6 +64,13 @@
     _last_sample = 0;
   }
 
+  // Useful for modifying static structures after startup.
+  void  modify(size_t avg, unsigned wt, bool force = false)  {
+    assert(force, "Are you sure you want to call this?");
+    _average = (float)avg;
+    _weight  = wt;
+  }
+
   // Accessors
   float    average() const       { return _average;       }
   unsigned weight()  const       { return _weight;        }
@@ -83,6 +90,10 @@
     // Convert to float and back to avoid integer overflow.
     return (size_t)exp_avg((float)avg, (float)sample, weight);
   }
+
+  // Printing
+  void print_on(outputStream* st) const;
+  void print() const;
 };
 
 
@@ -129,6 +140,10 @@
 
   // Override
   void  sample(float new_sample);
+
+  // Printing
+  void print_on(outputStream* st) const;
+  void print() const;
 };
 
 // A weighted average that includes a deviation from the average,
@@ -146,7 +161,12 @@
     AdaptivePaddedAverage(weight, padding)  {}
   // Override
   void  sample(float new_sample);
+
+  // Printing
+  void print_on(outputStream* st) const;
+  void print() const;
 };
+
 // Use a least squares fit to a set of data to generate a linear
 // equation.
 //              y = intercept + slope * x