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| <div class="title">time_averaged_stats.h</div> </div> |
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| <div class="contents"> |
| <a href="time__averaged__stats_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div> |
| <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> * Copyright 2015, Google Inc.</span></div> |
| <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * All rights reserved.</span></div> |
| <div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Redistribution and use in source and binary forms, with or without</span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * modification, are permitted provided that the following conditions are</span></div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * met:</span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * * Redistributions of source code must retain the above copyright</span></div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * notice, this list of conditions and the following disclaimer.</span></div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> * * Redistributions in binary form must reproduce the above</span></div> |
| <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * copyright notice, this list of conditions and the following disclaimer</span></div> |
| <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * in the documentation and/or other materials provided with the</span></div> |
| <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> * distribution.</span></div> |
| <div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * * Neither the name of Google Inc. nor the names of its</span></div> |
| <div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * contributors may be used to endorse or promote products derived from</span></div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * this software without specific prior written permission.</span></div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS</span></div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT</span></div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR</span></div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT</span></div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"> * OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,</span></div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"> * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT</span></div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment"> * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,</span></div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment"> * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY</span></div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment"> * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT</span></div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"> * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span></div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"> */</span></div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#ifndef GRPC_INTERNAL_CORE_IOMGR_TIME_AVERAGED_STATS_H</span></div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor"></span><span class="preprocessor">#define GRPC_INTERNAL_CORE_IOMGR_TIME_AVERAGED_STATS_H</span></div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor"></span></div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment">/* This tracks a time-decaying weighted average. It works by collecting</span></div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> batches of samples and then mixing their average into a time-decaying</span></div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"> weighted mean. It is designed for batch operations where we do many adds</span></div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"> before updating the average. */</span></div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div> |
| <div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="structgrpc__time__averaged__stats.html"> 42</a></span> <span class="keyword">typedef</span> <span class="keyword">struct </span>{</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="comment">/* The initial average value. This is the reported average until the first</span></div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"> grpc_time_averaged_stats_update_average call. If a positive regress_weight</span></div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"> is used, we also regress towards this value on each update. */</span></div> |
| <div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="structgrpc__time__averaged__stats.html#aa1aedfcd876bdec50aab3e1da6bec224"> 46</a></span>  <span class="keywordtype">double</span> <a class="code" href="structgrpc__time__averaged__stats.html#aa1aedfcd876bdec50aab3e1da6bec224">init_avg</a>;</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="comment">/* The sample weight of "init_avg" that is mixed in with each call to</span></div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> grpc_time_averaged_stats_update_average. If the calls to</span></div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"> grpc_time_averaged_stats_add_sample stop, this will cause the average to</span></div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> regress back to the mean. This should be non-negative. Set it to 0 to</span></div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> disable the bias. A value of 1 has the effect of adding in 1 bonus sample</span></div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> with value init_avg to each sample period. */</span></div> |
| <div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="structgrpc__time__averaged__stats.html#a24abd6f81483e9b6cecfa39eefffd70d"> 53</a></span>  <span class="keywordtype">double</span> <a class="code" href="structgrpc__time__averaged__stats.html#a24abd6f81483e9b6cecfa39eefffd70d">regress_weight</a>;</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="comment">/* This determines the rate of decay of the time-averaging from one period</span></div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> to the next by scaling the aggregate_total_weight of samples from prior</span></div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> periods when combining with the latest period. It should be in the range</span></div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> [0,1]. A higher value adapts more slowly. With a value of 0.5, if the</span></div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> batches each have k samples, the samples_in_avg_ will grow to 2 k, so the</span></div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"> weighting of the time average will eventually be 1/3 new batch and 2/3</span></div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> old average. */</span></div> |
| <div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="structgrpc__time__averaged__stats.html#adbadac315658d04556d28685266f1602"> 61</a></span>  <span class="keywordtype">double</span> <a class="code" href="structgrpc__time__averaged__stats.html#adbadac315658d04556d28685266f1602">persistence_factor</a>;</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">/* The total value of samples since the last UpdateAverage(). */</span></div> |
| <div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="structgrpc__time__averaged__stats.html#a87b5877b79ff41a32b12065ce4e0273b"> 64</a></span>  <span class="keywordtype">double</span> <a class="code" href="structgrpc__time__averaged__stats.html#a87b5877b79ff41a32b12065ce4e0273b">batch_total_value</a>;</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">/* The number of samples since the last UpdateAverage(). */</span></div> |
| <div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="structgrpc__time__averaged__stats.html#a630c3447f5023f4ab790a311ec93f6fb"> 66</a></span>  <span class="keywordtype">double</span> <a class="code" href="structgrpc__time__averaged__stats.html#a630c3447f5023f4ab790a311ec93f6fb">batch_num_samples</a>;</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="comment">/* The time-decayed sum of batch_num_samples_ over previous batches. This is</span></div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> the "weight" of the old aggregate_weighted_avg_ when updating the</span></div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="comment"> average. */</span></div> |
| <div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="structgrpc__time__averaged__stats.html#a85043e8ac6f293e2e74c8e93cf8660f1"> 70</a></span>  <span class="keywordtype">double</span> <a class="code" href="structgrpc__time__averaged__stats.html#a85043e8ac6f293e2e74c8e93cf8660f1">aggregate_total_weight</a>;</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="comment">/* A time-decayed average of the (batch_total_value_ / batch_num_samples_),</span></div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment"> computed by decaying the samples_in_avg_ weight in the weighted average. */</span></div> |
| <div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="structgrpc__time__averaged__stats.html#a0ba895378c9c903375bbe3d153aae2ab"> 73</a></span>  <span class="keywordtype">double</span> <a class="code" href="structgrpc__time__averaged__stats.html#a0ba895378c9c903375bbe3d153aae2ab">aggregate_weighted_avg</a>;</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span> } <a class="code" href="structgrpc__time__averaged__stats.html">grpc_time_averaged_stats</a>;</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment">/* See the comments on the members above for an explanation of init_avg,</span></div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"> regress_weight, and persistence_factor. */</span></div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="keywordtype">void</span> <a class="code" href="time__averaged__stats_8h.html#a9b6a0cb59dc0a3c179ae425525dcb4eb">grpc_time_averaged_stats_init</a>(<a class="code" href="structgrpc__time__averaged__stats.html">grpc_time_averaged_stats</a> *stats,</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordtype">double</span> init_avg, <span class="keywordtype">double</span> regress_weight,</div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordtype">double</span> persistence_factor);</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment">/* Add a sample to the current batch. */</span></div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="keywordtype">void</span> <a class="code" href="time__averaged__stats_8h.html#a3fc252070ff8ec7010c74774a042e54d">grpc_time_averaged_stats_add_sample</a>(<a class="code" href="structgrpc__time__averaged__stats.html">grpc_time_averaged_stats</a> *stats,</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordtype">double</span> <a class="code" href="hpack__table_8c.html#a8556878012feffc9e0beb86cd78f424d">value</a>);</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment">/* Complete a batch and compute the new estimate of the average sample</span></div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="comment"> value. */</span></div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="keywordtype">double</span> <a class="code" href="time__averaged__stats_8h.html#a811009e64ef5f5b88021d5aa08ceaf26">grpc_time_averaged_stats_update_average</a>(<a class="code" href="structgrpc__time__averaged__stats.html">grpc_time_averaged_stats</a> *stats);</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="preprocessor">#endif </span><span class="comment">/* GRPC_INTERNAL_CORE_IOMGR_TIME_AVERAGED_STATS_H */</span><span class="preprocessor"></span></div> |
| <div class="ttc" id="hpack__table_8c_html_a8556878012feffc9e0beb86cd78f424d"><div class="ttname"><a href="hpack__table_8c.html#a8556878012feffc9e0beb86cd78f424d">value</a></div><div class="ttdeci">const char * value</div><div class="ttdef"><b>Definition:</b> hpack_table.c:44</div></div> |
| <div class="ttc" id="structgrpc__time__averaged__stats_html_adbadac315658d04556d28685266f1602"><div class="ttname"><a href="structgrpc__time__averaged__stats.html#adbadac315658d04556d28685266f1602">grpc_time_averaged_stats::persistence_factor</a></div><div class="ttdeci">double persistence_factor</div><div class="ttdef"><b>Definition:</b> time_averaged_stats.h:61</div></div> |
| <div class="ttc" id="structgrpc__time__averaged__stats_html_a24abd6f81483e9b6cecfa39eefffd70d"><div class="ttname"><a href="structgrpc__time__averaged__stats.html#a24abd6f81483e9b6cecfa39eefffd70d">grpc_time_averaged_stats::regress_weight</a></div><div class="ttdeci">double regress_weight</div><div class="ttdef"><b>Definition:</b> time_averaged_stats.h:53</div></div> |
| <div class="ttc" id="structgrpc__time__averaged__stats_html_a630c3447f5023f4ab790a311ec93f6fb"><div class="ttname"><a href="structgrpc__time__averaged__stats.html#a630c3447f5023f4ab790a311ec93f6fb">grpc_time_averaged_stats::batch_num_samples</a></div><div class="ttdeci">double batch_num_samples</div><div class="ttdef"><b>Definition:</b> time_averaged_stats.h:66</div></div> |
| <div class="ttc" id="time__averaged__stats_8h_html_a9b6a0cb59dc0a3c179ae425525dcb4eb"><div class="ttname"><a href="time__averaged__stats_8h.html#a9b6a0cb59dc0a3c179ae425525dcb4eb">grpc_time_averaged_stats_init</a></div><div class="ttdeci">void grpc_time_averaged_stats_init(grpc_time_averaged_stats *stats, double init_avg, double regress_weight, double persistence_factor)</div><div class="ttdef"><b>Definition:</b> time_averaged_stats.c:36</div></div> |
| <div class="ttc" id="structgrpc__time__averaged__stats_html_a85043e8ac6f293e2e74c8e93cf8660f1"><div class="ttname"><a href="structgrpc__time__averaged__stats.html#a85043e8ac6f293e2e74c8e93cf8660f1">grpc_time_averaged_stats::aggregate_total_weight</a></div><div class="ttdeci">double aggregate_total_weight</div><div class="ttdef"><b>Definition:</b> time_averaged_stats.h:70</div></div> |
| <div class="ttc" id="structgrpc__time__averaged__stats_html_aa1aedfcd876bdec50aab3e1da6bec224"><div class="ttname"><a href="structgrpc__time__averaged__stats.html#aa1aedfcd876bdec50aab3e1da6bec224">grpc_time_averaged_stats::init_avg</a></div><div class="ttdeci">double init_avg</div><div class="ttdef"><b>Definition:</b> time_averaged_stats.h:46</div></div> |
| <div class="ttc" id="structgrpc__time__averaged__stats_html_a87b5877b79ff41a32b12065ce4e0273b"><div class="ttname"><a href="structgrpc__time__averaged__stats.html#a87b5877b79ff41a32b12065ce4e0273b">grpc_time_averaged_stats::batch_total_value</a></div><div class="ttdeci">double batch_total_value</div><div class="ttdef"><b>Definition:</b> time_averaged_stats.h:64</div></div> |
| <div class="ttc" id="time__averaged__stats_8h_html_a3fc252070ff8ec7010c74774a042e54d"><div class="ttname"><a href="time__averaged__stats_8h.html#a3fc252070ff8ec7010c74774a042e54d">grpc_time_averaged_stats_add_sample</a></div><div class="ttdeci">void grpc_time_averaged_stats_add_sample(grpc_time_averaged_stats *stats, double value)</div><div class="ttdef"><b>Definition:</b> time_averaged_stats.c:48</div></div> |
| <div class="ttc" id="structgrpc__time__averaged__stats_html"><div class="ttname"><a href="structgrpc__time__averaged__stats.html">grpc_time_averaged_stats</a></div><div class="ttdef"><b>Definition:</b> time_averaged_stats.h:42</div></div> |
| <div class="ttc" id="time__averaged__stats_8h_html_a811009e64ef5f5b88021d5aa08ceaf26"><div class="ttname"><a href="time__averaged__stats_8h.html#a811009e64ef5f5b88021d5aa08ceaf26">grpc_time_averaged_stats_update_average</a></div><div class="ttdeci">double grpc_time_averaged_stats_update_average(grpc_time_averaged_stats *stats)</div><div class="ttdef"><b>Definition:</b> time_averaged_stats.c:54</div></div> |
| <div class="ttc" id="structgrpc__time__averaged__stats_html_a0ba895378c9c903375bbe3d153aae2ab"><div class="ttname"><a href="structgrpc__time__averaged__stats.html#a0ba895378c9c903375bbe3d153aae2ab">grpc_time_averaged_stats::aggregate_weighted_avg</a></div><div class="ttdeci">double aggregate_weighted_avg</div><div class="ttdef"><b>Definition:</b> time_averaged_stats.h:73</div></div> |
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