--- a/hotspot/src/share/vm/memory/allocationStats.hpp	Fri Apr 11 15:08:21 2008 -0700
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,136 +0,0 @@
-/*
- * Copyright 2001-2005 Sun Microsystems, Inc.  All Rights Reserved.
- * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
- *
- * This code is free software; you can redistribute it and/or modify it
- * under the terms of the GNU General Public License version 2 only, as
- * published by the Free Software Foundation.
- *
- * This code is distributed in the hope that it will be useful, but WITHOUT
- * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
- * FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
- * version 2 for more details (a copy is included in the LICENSE file that
- * accompanied this code).
- *
- * You should have received a copy of the GNU General Public License version
- * 2 along with this work; if not, write to the Free Software Foundation,
- * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
- *
- * Please contact Sun Microsystems, Inc., 4150 Network Circle, Santa Clara,
- * CA 95054 USA or visit www.sun.com if you need additional information or
- * have any questions.
- *
- */
-
-class AllocationStats VALUE_OBJ_CLASS_SPEC {
-  // A duration threshold (in ms) used to filter
-  // possibly unreliable samples.
-  static float _threshold;
-
-  // We measure the demand between the end of the previous sweep and
-  // beginning of this sweep:
-  //   Count(end_last_sweep) - Count(start_this_sweep)
-  //     + splitBirths(between) - splitDeaths(between)
-  // The above number divided by the time since the start [END???] of the
-  // previous sweep gives us a time rate of demand for blocks
-  // of this size. We compute a padded average of this rate as
-  // our current estimate for the time rate of demand for blocks
-  // of this size. Similarly, we keep a padded average for the time
-  // between sweeps. Our current estimate for demand for blocks of
-  // this size is then simply computed as the product of these two
-  // estimates.
-  AdaptivePaddedAverage _demand_rate_estimate;
-
-  ssize_t     _desired;          // Estimate computed as described above
-  ssize_t     _coalDesired;     // desired +/- small-percent for tuning coalescing
-
-  ssize_t     _surplus;         // count - (desired +/- small-percent),
-                                // used to tune splitting in best fit
-  ssize_t     _bfrSurp;         // surplus at start of current sweep
-  ssize_t     _prevSweep;       // count from end of previous sweep
-  ssize_t     _beforeSweep;     // count from before current sweep
-  ssize_t     _coalBirths;      // additional chunks from coalescing
-  ssize_t     _coalDeaths;      // loss from coalescing
-  ssize_t     _splitBirths;     // additional chunks from splitting
-  ssize_t     _splitDeaths;     // loss from splitting
-  size_t     _returnedBytes;    // number of bytes returned to list.
- public:
-  void initialize() {
-    AdaptivePaddedAverage* dummy =
-      new (&_demand_rate_estimate) AdaptivePaddedAverage(CMS_FLSWeight,
-                                                         CMS_FLSPadding);
-    _desired = 0;
-    _coalDesired = 0;
-    _surplus = 0;
-    _bfrSurp = 0;
-    _prevSweep = 0;
-    _beforeSweep = 0;
-    _coalBirths = 0;
-    _coalDeaths = 0;
-    _splitBirths = 0;
-    _splitDeaths = 0;
-    _returnedBytes = 0;
-  }
-
-  AllocationStats() {
-    initialize();
-  }
-  // The rate estimate is in blocks per second.
-  void compute_desired(size_t count,
-                       float inter_sweep_current,
-                       float inter_sweep_estimate) {
-    // If the latest inter-sweep time is below our granularity
-    // of measurement, we may call in here with
-    // inter_sweep_current == 0. However, even for suitably small
-    // but non-zero inter-sweep durations, we may not trust the accuracy
-    // of accumulated data, since it has not been "integrated"
-    // (read "low-pass-filtered") long enough, and would be
-    // vulnerable to noisy glitches. In such cases, we
-    // ignore the current sample and use currently available
-    // historical estimates.
-    if (inter_sweep_current > _threshold) {
-      ssize_t demand = prevSweep() - count + splitBirths() - splitDeaths();
-      float rate = ((float)demand)/inter_sweep_current;
-      _demand_rate_estimate.sample(rate);
-      _desired = (ssize_t)(_demand_rate_estimate.padded_average()
-                           *inter_sweep_estimate);
-    }
-  }
-
-  ssize_t desired() const { return _desired; }
-  ssize_t coalDesired() const { return _coalDesired; }
-  void set_coalDesired(ssize_t v) { _coalDesired = v; }
-
-  ssize_t surplus() const { return _surplus; }
-  void set_surplus(ssize_t v) { _surplus = v; }
-  void increment_surplus() { _surplus++; }
-  void decrement_surplus() { _surplus--; }
-
-  ssize_t bfrSurp() const { return _bfrSurp; }
-  void set_bfrSurp(ssize_t v) { _bfrSurp = v; }
-  ssize_t prevSweep() const { return _prevSweep; }
-  void set_prevSweep(ssize_t v) { _prevSweep = v; }
-  ssize_t beforeSweep() const { return _beforeSweep; }
-  void set_beforeSweep(ssize_t v) { _beforeSweep = v; }
-
-  ssize_t coalBirths() const { return _coalBirths; }
-  void set_coalBirths(ssize_t v) { _coalBirths = v; }
-  void increment_coalBirths() { _coalBirths++; }
-
-  ssize_t coalDeaths() const { return _coalDeaths; }
-  void set_coalDeaths(ssize_t v) { _coalDeaths = v; }
-  void increment_coalDeaths() { _coalDeaths++; }
-
-  ssize_t splitBirths() const { return _splitBirths; }
-  void set_splitBirths(ssize_t v) { _splitBirths = v; }
-  void increment_splitBirths() { _splitBirths++; }
-
-  ssize_t splitDeaths() const { return _splitDeaths; }
-  void set_splitDeaths(ssize_t v) { _splitDeaths = v; }
-  void increment_splitDeaths() { _splitDeaths++; }
-
-  NOT_PRODUCT(
-    size_t returnedBytes() const { return _returnedBytes; }
-    void set_returnedBytes(size_t v) { _returnedBytes = v; }
-  )
-};