--- a/hotspot/src/share/vm/memory/allocationStats.hpp Tue Feb 26 15:57:49 2008 -0800
+++ /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; }
- )
-};