| /* |
| * Copyright 2004-2006 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. |
| * |
| */ |
| #include "incls/_precompiled.incl" |
| #include "incls/_adaptiveSizePolicy.cpp.incl" |
| |
| elapsedTimer AdaptiveSizePolicy::_minor_timer; |
| elapsedTimer AdaptiveSizePolicy::_major_timer; |
| |
| // The throughput goal is implemented as |
| // _throughput_goal = 1 - ( 1 / (1 + gc_cost_ratio)) |
| // gc_cost_ratio is the ratio |
| // application cost / gc cost |
| // For example a gc_cost_ratio of 4 translates into a |
| // throughput goal of .80 |
| |
| AdaptiveSizePolicy::AdaptiveSizePolicy(size_t init_eden_size, |
| size_t init_promo_size, |
| size_t init_survivor_size, |
| double gc_pause_goal_sec, |
| uint gc_cost_ratio) : |
| _eden_size(init_eden_size), |
| _promo_size(init_promo_size), |
| _survivor_size(init_survivor_size), |
| _gc_pause_goal_sec(gc_pause_goal_sec), |
| _throughput_goal(1.0 - double(1.0 / (1.0 + (double) gc_cost_ratio))), |
| _gc_time_limit_exceeded(false), |
| _print_gc_time_limit_would_be_exceeded(false), |
| _gc_time_limit_count(0), |
| _latest_minor_mutator_interval_seconds(0), |
| _threshold_tolerance_percent(1.0 + ThresholdTolerance/100.0), |
| _young_gen_change_for_minor_throughput(0), |
| _old_gen_change_for_major_throughput(0) { |
| _avg_minor_pause = |
| new AdaptivePaddedAverage(AdaptiveTimeWeight, PausePadding); |
| _avg_minor_interval = new AdaptiveWeightedAverage(AdaptiveTimeWeight); |
| _avg_minor_gc_cost = new AdaptiveWeightedAverage(AdaptiveTimeWeight); |
| _avg_major_gc_cost = new AdaptiveWeightedAverage(AdaptiveTimeWeight); |
| |
| _avg_young_live = new AdaptiveWeightedAverage(AdaptiveSizePolicyWeight); |
| _avg_old_live = new AdaptiveWeightedAverage(AdaptiveSizePolicyWeight); |
| _avg_eden_live = new AdaptiveWeightedAverage(AdaptiveSizePolicyWeight); |
| |
| _avg_survived = new AdaptivePaddedAverage(AdaptiveSizePolicyWeight, |
| SurvivorPadding); |
| _avg_pretenured = new AdaptivePaddedNoZeroDevAverage( |
| AdaptiveSizePolicyWeight, |
| SurvivorPadding); |
| |
| _minor_pause_old_estimator = |
| new LinearLeastSquareFit(AdaptiveSizePolicyWeight); |
| _minor_pause_young_estimator = |
| new LinearLeastSquareFit(AdaptiveSizePolicyWeight); |
| _minor_collection_estimator = |
| new LinearLeastSquareFit(AdaptiveSizePolicyWeight); |
| _major_collection_estimator = |
| new LinearLeastSquareFit(AdaptiveSizePolicyWeight); |
| |
| // Start the timers |
| _minor_timer.start(); |
| |
| _young_gen_policy_is_ready = false; |
| } |
| |
| bool AdaptiveSizePolicy::tenuring_threshold_change() const { |
| return decrement_tenuring_threshold_for_gc_cost() || |
| increment_tenuring_threshold_for_gc_cost() || |
| decrement_tenuring_threshold_for_survivor_limit(); |
| } |
| |
| void AdaptiveSizePolicy::minor_collection_begin() { |
| // Update the interval time |
| _minor_timer.stop(); |
| // Save most recent collection time |
| _latest_minor_mutator_interval_seconds = _minor_timer.seconds(); |
| _minor_timer.reset(); |
| _minor_timer.start(); |
| } |
| |
| void AdaptiveSizePolicy::update_minor_pause_young_estimator( |
| double minor_pause_in_ms) { |
| double eden_size_in_mbytes = ((double)_eden_size)/((double)M); |
| _minor_pause_young_estimator->update(eden_size_in_mbytes, |
| minor_pause_in_ms); |
| } |
| |
| void AdaptiveSizePolicy::minor_collection_end(GCCause::Cause gc_cause) { |
| // Update the pause time. |
| _minor_timer.stop(); |
| |
| if (gc_cause != GCCause::_java_lang_system_gc || |
| UseAdaptiveSizePolicyWithSystemGC) { |
| double minor_pause_in_seconds = _minor_timer.seconds(); |
| double minor_pause_in_ms = minor_pause_in_seconds * MILLIUNITS; |
| |
| // Sample for performance counter |
| _avg_minor_pause->sample(minor_pause_in_seconds); |
| |
| // Cost of collection (unit-less) |
| double collection_cost = 0.0; |
| if ((_latest_minor_mutator_interval_seconds > 0.0) && |
| (minor_pause_in_seconds > 0.0)) { |
| double interval_in_seconds = |
| _latest_minor_mutator_interval_seconds + minor_pause_in_seconds; |
| collection_cost = |
| minor_pause_in_seconds / interval_in_seconds; |
| _avg_minor_gc_cost->sample(collection_cost); |
| // Sample for performance counter |
| _avg_minor_interval->sample(interval_in_seconds); |
| } |
| |
| // The policy does not have enough data until at least some |
| // minor collections have been done. |
| _young_gen_policy_is_ready = |
| (_avg_minor_gc_cost->count() >= AdaptiveSizePolicyReadyThreshold); |
| |
| // Calculate variables used to estimate pause time vs. gen sizes |
| double eden_size_in_mbytes = ((double)_eden_size)/((double)M); |
| update_minor_pause_young_estimator(minor_pause_in_ms); |
| update_minor_pause_old_estimator(minor_pause_in_ms); |
| |
| if (PrintAdaptiveSizePolicy && Verbose) { |
| gclog_or_tty->print("AdaptiveSizePolicy::minor_collection_end: " |
| "minor gc cost: %f average: %f", collection_cost, |
| _avg_minor_gc_cost->average()); |
| gclog_or_tty->print_cr(" minor pause: %f minor period %f", |
| minor_pause_in_ms, |
| _latest_minor_mutator_interval_seconds * MILLIUNITS); |
| } |
| |
| // Calculate variable used to estimate collection cost vs. gen sizes |
| assert(collection_cost >= 0.0, "Expected to be non-negative"); |
| _minor_collection_estimator->update(eden_size_in_mbytes, collection_cost); |
| } |
| |
| // Interval times use this timer to measure the mutator time. |
| // Reset the timer after the GC pause. |
| _minor_timer.reset(); |
| _minor_timer.start(); |
| } |
| |
| size_t AdaptiveSizePolicy::eden_increment(size_t cur_eden, |
| uint percent_change) { |
| size_t eden_heap_delta; |
| eden_heap_delta = cur_eden / 100 * percent_change; |
| return eden_heap_delta; |
| } |
| |
| size_t AdaptiveSizePolicy::eden_increment(size_t cur_eden) { |
| return eden_increment(cur_eden, YoungGenerationSizeIncrement); |
| } |
| |
| size_t AdaptiveSizePolicy::eden_decrement(size_t cur_eden) { |
| size_t eden_heap_delta = eden_increment(cur_eden) / |
| AdaptiveSizeDecrementScaleFactor; |
| return eden_heap_delta; |
| } |
| |
| size_t AdaptiveSizePolicy::promo_increment(size_t cur_promo, |
| uint percent_change) { |
| size_t promo_heap_delta; |
| promo_heap_delta = cur_promo / 100 * percent_change; |
| return promo_heap_delta; |
| } |
| |
| size_t AdaptiveSizePolicy::promo_increment(size_t cur_promo) { |
| return promo_increment(cur_promo, TenuredGenerationSizeIncrement); |
| } |
| |
| size_t AdaptiveSizePolicy::promo_decrement(size_t cur_promo) { |
| size_t promo_heap_delta = promo_increment(cur_promo); |
| promo_heap_delta = promo_heap_delta / AdaptiveSizeDecrementScaleFactor; |
| return promo_heap_delta; |
| } |
| |
| double AdaptiveSizePolicy::time_since_major_gc() const { |
| _major_timer.stop(); |
| double result = _major_timer.seconds(); |
| _major_timer.start(); |
| return result; |
| } |
| |
| // Linear decay of major gc cost |
| double AdaptiveSizePolicy::decaying_major_gc_cost() const { |
| double major_interval = major_gc_interval_average_for_decay(); |
| double major_gc_cost_average = major_gc_cost(); |
| double decayed_major_gc_cost = major_gc_cost_average; |
| if(time_since_major_gc() > 0.0) { |
| decayed_major_gc_cost = major_gc_cost() * |
| (((double) AdaptiveSizeMajorGCDecayTimeScale) * major_interval) |
| / time_since_major_gc(); |
| } |
| |
| // The decayed cost should always be smaller than the |
| // average cost but the vagaries of finite arithmetic could |
| // produce a larger value in decayed_major_gc_cost so protect |
| // against that. |
| return MIN2(major_gc_cost_average, decayed_major_gc_cost); |
| } |
| |
| // Use a value of the major gc cost that has been decayed |
| // by the factor |
| // |
| // average-interval-between-major-gc * AdaptiveSizeMajorGCDecayTimeScale / |
| // time-since-last-major-gc |
| // |
| // if the average-interval-between-major-gc * AdaptiveSizeMajorGCDecayTimeScale |
| // is less than time-since-last-major-gc. |
| // |
| // In cases where there are initial major gc's that |
| // are of a relatively high cost but no later major |
| // gc's, the total gc cost can remain high because |
| // the major gc cost remains unchanged (since there are no major |
| // gc's). In such a situation the value of the unchanging |
| // major gc cost can keep the mutator throughput below |
| // the goal when in fact the major gc cost is becoming diminishingly |
| // small. Use the decaying gc cost only to decide whether to |
| // adjust for throughput. Using it also to determine the adjustment |
| // to be made for throughput also seems reasonable but there is |
| // no test case to use to decide if it is the right thing to do |
| // don't do it yet. |
| |
| double AdaptiveSizePolicy::decaying_gc_cost() const { |
| double decayed_major_gc_cost = major_gc_cost(); |
| double avg_major_interval = major_gc_interval_average_for_decay(); |
| if (UseAdaptiveSizeDecayMajorGCCost && |
| (AdaptiveSizeMajorGCDecayTimeScale > 0) && |
| (avg_major_interval > 0.00)) { |
| double time_since_last_major_gc = time_since_major_gc(); |
| |
| // Decay the major gc cost? |
| if (time_since_last_major_gc > |
| ((double) AdaptiveSizeMajorGCDecayTimeScale) * avg_major_interval) { |
| |
| // Decay using the time-since-last-major-gc |
| decayed_major_gc_cost = decaying_major_gc_cost(); |
| if (PrintGCDetails && Verbose) { |
| gclog_or_tty->print_cr("\ndecaying_gc_cost: major interval average:" |
| " %f time since last major gc: %f", |
| avg_major_interval, time_since_last_major_gc); |
| gclog_or_tty->print_cr(" major gc cost: %f decayed major gc cost: %f", |
| major_gc_cost(), decayed_major_gc_cost); |
| } |
| } |
| } |
| double result = MIN2(1.0, decayed_major_gc_cost + minor_gc_cost()); |
| return result; |
| } |
| |
| |
| void AdaptiveSizePolicy::clear_generation_free_space_flags() { |
| set_change_young_gen_for_min_pauses(0); |
| set_change_old_gen_for_maj_pauses(0); |
| |
| set_change_old_gen_for_throughput(0); |
| set_change_young_gen_for_throughput(0); |
| set_decrease_for_footprint(0); |
| set_decide_at_full_gc(0); |
| } |
| |
| // Printing |
| |
| bool AdaptiveSizePolicy::print_adaptive_size_policy_on(outputStream* st) const { |
| |
| // Should only be used with adaptive size policy turned on. |
| // Otherwise, there may be variables that are undefined. |
| if (!UseAdaptiveSizePolicy) return false; |
| |
| // Print goal for which action is needed. |
| char* action = NULL; |
| bool change_for_pause = false; |
| if ((change_old_gen_for_maj_pauses() == |
| decrease_old_gen_for_maj_pauses_true) || |
| (change_young_gen_for_min_pauses() == |
| decrease_young_gen_for_min_pauses_true)) { |
| action = (char*) " *** pause time goal ***"; |
| change_for_pause = true; |
| } else if ((change_old_gen_for_throughput() == |
| increase_old_gen_for_throughput_true) || |
| (change_young_gen_for_throughput() == |
| increase_young_gen_for_througput_true)) { |
| action = (char*) " *** throughput goal ***"; |
| } else if (decrease_for_footprint()) { |
| action = (char*) " *** reduced footprint ***"; |
| } else { |
| // No actions were taken. This can legitimately be the |
| // situation if not enough data has been gathered to make |
| // decisions. |
| return false; |
| } |
| |
| // Pauses |
| // Currently the size of the old gen is only adjusted to |
| // change the major pause times. |
| char* young_gen_action = NULL; |
| char* tenured_gen_action = NULL; |
| |
| char* shrink_msg = (char*) "(attempted to shrink)"; |
| char* grow_msg = (char*) "(attempted to grow)"; |
| char* no_change_msg = (char*) "(no change)"; |
| if (change_young_gen_for_min_pauses() == |
| decrease_young_gen_for_min_pauses_true) { |
| young_gen_action = shrink_msg; |
| } else if (change_for_pause) { |
| young_gen_action = no_change_msg; |
| } |
| |
| if (change_old_gen_for_maj_pauses() == decrease_old_gen_for_maj_pauses_true) { |
| tenured_gen_action = shrink_msg; |
| } else if (change_for_pause) { |
| tenured_gen_action = no_change_msg; |
| } |
| |
| // Throughput |
| if (change_old_gen_for_throughput() == increase_old_gen_for_throughput_true) { |
| assert(change_young_gen_for_throughput() == |
| increase_young_gen_for_througput_true, |
| "Both generations should be growing"); |
| young_gen_action = grow_msg; |
| tenured_gen_action = grow_msg; |
| } else if (change_young_gen_for_throughput() == |
| increase_young_gen_for_througput_true) { |
| // Only the young generation may grow at start up (before |
| // enough full collections have been done to grow the old generation). |
| young_gen_action = grow_msg; |
| tenured_gen_action = no_change_msg; |
| } |
| |
| // Minimum footprint |
| if (decrease_for_footprint() != 0) { |
| young_gen_action = shrink_msg; |
| tenured_gen_action = shrink_msg; |
| } |
| |
| st->print_cr(" UseAdaptiveSizePolicy actions to meet %s", action); |
| st->print_cr(" GC overhead (%%)"); |
| st->print_cr(" Young generation: %7.2f\t %s", |
| 100.0 * avg_minor_gc_cost()->average(), |
| young_gen_action); |
| st->print_cr(" Tenured generation: %7.2f\t %s", |
| 100.0 * avg_major_gc_cost()->average(), |
| tenured_gen_action); |
| return true; |
| } |
| |
| bool AdaptiveSizePolicy::print_adaptive_size_policy_on( |
| outputStream* st, |
| int tenuring_threshold_arg) const { |
| if (!AdaptiveSizePolicy::print_adaptive_size_policy_on(st)) { |
| return false; |
| } |
| |
| // Tenuring threshold |
| bool tenuring_threshold_changed = true; |
| if (decrement_tenuring_threshold_for_survivor_limit()) { |
| st->print(" Tenuring threshold: (attempted to decrease to avoid" |
| " survivor space overflow) = "); |
| } else if (decrement_tenuring_threshold_for_gc_cost()) { |
| st->print(" Tenuring threshold: (attempted to decrease to balance" |
| " GC costs) = "); |
| } else if (increment_tenuring_threshold_for_gc_cost()) { |
| st->print(" Tenuring threshold: (attempted to increase to balance" |
| " GC costs) = "); |
| } else { |
| tenuring_threshold_changed = false; |
| assert(!tenuring_threshold_change(), "(no change was attempted)"); |
| } |
| if (tenuring_threshold_changed) { |
| st->print_cr("%d", tenuring_threshold_arg); |
| } |
| return true; |
| } |