1 | /* |
2 | * Copyright (c) 2015, 2019, Oracle and/or its affiliates. All rights reserved. |
3 | * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. |
4 | * |
5 | * This code is free software; you can redistribute it and/or modify it |
6 | * under the terms of the GNU General Public License version 2 only, as |
7 | * published by the Free Software Foundation. |
8 | * |
9 | * This code is distributed in the hope that it will be useful, but WITHOUT |
10 | * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
11 | * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
12 | * version 2 for more details (a copy is included in the LICENSE file that |
13 | * accompanied this code). |
14 | * |
15 | * You should have received a copy of the GNU General Public License version |
16 | * 2 along with this work; if not, write to the Free Software Foundation, |
17 | * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. |
18 | * |
19 | * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA |
20 | * or visit www.oracle.com if you need additional information or have any |
21 | * questions. |
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23 | */ |
24 | |
25 | #ifndef SHARE_GC_G1_G1PREDICTIONS_HPP |
26 | #define SHARE_GC_G1_G1PREDICTIONS_HPP |
27 | |
28 | #include "utilities/numberSeq.hpp" |
29 | |
30 | // Utility class containing various helper methods for prediction. |
31 | class G1Predictions { |
32 | private: |
33 | double _sigma; |
34 | |
35 | // This function is used to estimate the stddev of sample sets. There is some |
36 | // special consideration of small sample sets: the actual stddev for them is |
37 | // not very useful, so we calculate some value based on the sample average. |
38 | // Five or more samples yields zero (at that point we use the stddev); fewer |
39 | // scale the sample set average linearly from two times the average to 0.5 times |
40 | // it. |
41 | double stddev_estimate(TruncatedSeq const* seq) const { |
42 | double estimate = seq->dsd(); |
43 | int const samples = seq->num(); |
44 | if (samples < 5) { |
45 | estimate = MAX2(seq->davg() * (5 - samples) / 2.0, estimate); |
46 | } |
47 | return estimate; |
48 | } |
49 | public: |
50 | G1Predictions(double sigma) : _sigma(sigma) { |
51 | assert(sigma >= 0.0, "Confidence must be larger than or equal to zero" ); |
52 | } |
53 | |
54 | // Confidence factor. |
55 | double sigma() const { return _sigma; } |
56 | |
57 | double get_new_prediction(TruncatedSeq const* seq) const { |
58 | return seq->davg() + _sigma * stddev_estimate(seq); |
59 | } |
60 | }; |
61 | |
62 | #endif // SHARE_GC_G1_G1PREDICTIONS_HPP |
63 | |